Delete checkpoint-2905

checkpoint-2905/README.md

@@ -1,202 +0,0 @@
----
-base_model: mistralai/Mistral-7B-Instruct-v0.3
-library_name: peft
----
-
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
-### Framework versions
-
-- PEFT 0.15.2

checkpoint-2905/adapter_config.json

@@ -1,39 +0,0 @@
-{
-  "alpha_pattern": {},
-  "auto_mapping": null,
-  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
-  "bias": "none",
-  "corda_config": null,
-  "eva_config": null,
-  "exclude_modules": null,
-  "fan_in_fan_out": false,
-  "inference_mode": true,
-  "init_lora_weights": true,
-  "layer_replication": null,
-  "layers_pattern": null,
-  "layers_to_transform": null,
-  "loftq_config": {},
-  "lora_alpha": 16,
-  "lora_bias": false,
-  "lora_dropout": 0.1,
-  "megatron_config": null,
-  "megatron_core": "megatron.core",
-  "modules_to_save": null,
-  "peft_type": "LORA",
-  "r": 32,
-  "rank_pattern": {},
-  "revision": null,
-  "target_modules": [
-    "gate_proj",
-    "k_proj",
-    "down_proj",
-    "o_proj",
-    "v_proj",
-    "up_proj",
-    "q_proj"
-  ],
-  "task_type": "CAUSAL_LM",
-  "trainable_token_indices": null,
-  "use_dora": false,
-  "use_rslora": false
-}

checkpoint-2905/adapter_model.safetensors

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:cd96fdcd636771e4873f12078f36d23b38b5a9447f92b7d3611efde0c9ea5b4e
-size 335604696

checkpoint-2905/chat_template.jinja

@@ -1,87 +0,0 @@
-{%- if messages[0]["role"] == "system" %}
-    {%- set system_message = messages[0]["content"] %}
-    {%- set loop_messages = messages[1:] %}
-{%- else %}
-    {%- set loop_messages = messages %}
-{%- endif %}
-{%- if not tools is defined %}
-    {%- set tools = none %}
-{%- endif %}
-{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
-
-{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
-{%- set ns = namespace() %}
-{%- set ns.index = 0 %}
-{%- for message in loop_messages %}
-    {%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
-        {%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
-            {{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
-        {%- endif %}
-        {%- set ns.index = ns.index + 1 %}
-    {%- endif %}
-{%- endfor %}
-
-{{- bos_token }}
-{%- for message in loop_messages %}
-    {%- if message["role"] == "user" %}
-        {%- if tools is not none and (message == user_messages[-1]) %}
-            {{- "[AVAILABLE_TOOLS] [" }}
-            {%- for tool in tools %}
-                {%- set tool = tool.function %}
-                {{- '{"type": "function", "function": {' }}
-                {%- for key, val in tool.items() if key != "return" %}
-                    {%- if val is string %}
-                        {{- '"' + key + '": "' + val + '"' }}
-                    {%- else %}
-                        {{- '"' + key + '": ' + val|tojson }}
-                    {%- endif %}
-                    {%- if not loop.last %}
-                        {{- ", " }}
-                    {%- endif %}
-                {%- endfor %}
-                {{- "}}" }}
-                {%- if not loop.last %}
-                    {{- ", " }}
-                {%- else %}
-                    {{- "]" }}
-                {%- endif %}
-            {%- endfor %}
-            {{- "[/AVAILABLE_TOOLS]" }}
-            {%- endif %}
-        {%- if loop.last and system_message is defined %}
-            {{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
-        {%- else %}
-            {{- "[INST] " + message["content"] + "[/INST]" }}
-        {%- endif %}
-    {%- elif message.tool_calls is defined and message.tool_calls is not none %}
-        {{- "[TOOL_CALLS] [" }}
-        {%- for tool_call in message.tool_calls %}
-            {%- set out = tool_call.function|tojson %}
-            {{- out[:-1] }}
-            {%- if not tool_call.id is defined or tool_call.id|length != 9 %}
-                {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
-            {%- endif %}
-            {{- ', "id": "' + tool_call.id + '"}' }}
-            {%- if not loop.last %}
-                {{- ", " }}
-            {%- else %}
-                {{- "]" + eos_token }}
-            {%- endif %}
-        {%- endfor %}
-    {%- elif message["role"] == "assistant" %}
-        {{- " " + message["content"]|trim + eos_token}}
-    {%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
-        {%- if message.content is defined and message.content.content is defined %}
-            {%- set content = message.content.content %}
-        {%- else %}
-            {%- set content = message.content %}
-        {%- endif %}
-        {{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
-        {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
-            {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
-        {%- endif %}
-        {{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
-    {%- else %}
-        {{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
-    {%- endif %}
-{%- endfor %}

checkpoint-2905/optimizer.pt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:c5175440501fe0f13fb1f3ac17396570eb33c693d1181837c1b99eb1de7bf0a3
-size 671365003

checkpoint-2905/rng_state.pth

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fece147d7802283c3b081cb78613027359356135ff52e0b3ef01f7fbd4c6bc82
-size 14645

checkpoint-2905/scheduler.pt

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:85242ff7bce8d8d55f962d85adc5f15cd2de013153858a35295186b646432dbe
-size 1465

checkpoint-2905/special_tokens_map.json

@@ -1,24 +0,0 @@
-{
-  "bos_token": {
-    "content": "<s>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "</s>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": "</s>",
-  "unk_token": {
-    "content": "<unk>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
-}

checkpoint-2905/tokenizer.model

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
-size 587404

checkpoint-2905/trainer_state.json

@@ -1,1148 +0,0 @@
-{
-  "best_global_step": null,
-  "best_metric": null,
-  "best_model_checkpoint": null,
-  "epoch": 7.0,
-  "eval_steps": 500,
-  "global_step": 2905,
-  "is_hyper_param_search": false,
-  "is_local_process_zero": true,
-  "is_world_process_zero": true,
-  "log_history": [
-    {
-      "epoch": 0.060350030175015085,
-      "grad_norm": 0.915810763835907,
-      "learning_rate": 8.18181818181818e-05,
-      "loss": 1.5579,
-      "mean_token_accuracy": 0.6726609909534454,
-      "num_tokens": 156451.0,
-      "step": 25
-    },
-    {
-      "epoch": 0.12070006035003017,
-      "grad_norm": 0.8468347191810608,
-      "learning_rate": 0.00016704545454545452,
-      "loss": 0.8806,
-      "mean_token_accuracy": 0.7797876751422882,
-      "num_tokens": 273996.0,
-      "step": 50
-    },
-    {
-      "epoch": 0.18105009052504525,
-      "grad_norm": 0.6957323551177979,
-      "learning_rate": 0.0002522727272727273,
-      "loss": 0.5904,
-      "mean_token_accuracy": 0.8393249285221099,
-      "num_tokens": 425859.0,
-      "step": 75
-    },
-    {
-      "epoch": 0.24140012070006034,
-      "grad_norm": 0.7738164663314819,
-      "learning_rate": 0.0002999887132933212,
-      "loss": 0.4572,
-      "mean_token_accuracy": 0.8712374359369278,
-      "num_tokens": 542080.0,
-      "step": 100
-    },
-    {
-      "epoch": 0.30175015087507545,
-      "grad_norm": 0.6000323295593262,
-      "learning_rate": 0.0002998791256978121,
-      "loss": 0.3441,
-      "mean_token_accuracy": 0.9016327333450317,
-      "num_tokens": 690749.0,
-      "step": 125
-    },
-    {
-      "epoch": 0.3621001810500905,
-      "grad_norm": 0.8241934776306152,
-      "learning_rate": 0.0002996530399366737,
-      "loss": 0.3391,
-      "mean_token_accuracy": 0.9067233097553253,
-      "num_tokens": 804498.0,
-      "step": 150
-    },
-    {
-      "epoch": 0.4224502112251056,
-      "grad_norm": 0.6018714308738708,
-      "learning_rate": 0.00029931063174202567,
-      "loss": 0.2403,
-      "mean_token_accuracy": 0.9311208426952362,
-      "num_tokens": 956805.0,
-      "step": 175
-    },
-    {
-      "epoch": 0.4828002414001207,
-      "grad_norm": 0.6791284680366516,
-      "learning_rate": 0.00029885216726118104,
-      "loss": 0.2405,
-      "mean_token_accuracy": 0.9332937943935394,
-      "num_tokens": 1073182.0,
-      "step": 200
-    },
-    {
-      "epoch": 0.5431502715751357,
-      "grad_norm": 0.4105781614780426,
-      "learning_rate": 0.00029827800284977474,
-      "loss": 0.1788,
-      "mean_token_accuracy": 0.9502924716472626,
-      "num_tokens": 1223675.0,
-      "step": 225
-    },
-    {
-      "epoch": 0.6035003017501509,
-      "grad_norm": 0.6441053152084351,
-      "learning_rate": 0.00029758858479477575,
-      "loss": 0.1834,
-      "mean_token_accuracy": 0.9509575897455216,
-      "num_tokens": 1340505.0,
-      "step": 250
-    },
-    {
-      "epoch": 0.663850331925166,
-      "grad_norm": 0.6117656230926514,
-      "learning_rate": 0.0002967844489675963,
-      "loss": 0.164,
-      "mean_token_accuracy": 0.9560773247480392,
-      "num_tokens": 1494591.0,
-      "step": 275
-    },
-    {
-      "epoch": 0.724200362100181,
-      "grad_norm": 0.6707085967063904,
-      "learning_rate": 0.00029586622040756957,
-      "loss": 0.1596,
-      "mean_token_accuracy": 0.9571379733085632,
-      "num_tokens": 1611141.0,
-      "step": 300
-    },
-    {
-      "epoch": 0.7845503922751962,
-      "grad_norm": 0.3164249658584595,
-      "learning_rate": 0.0002948346128361186,
-      "loss": 0.1361,
-      "mean_token_accuracy": 0.9637150484323501,
-      "num_tokens": 1764271.0,
-      "step": 325
-    },
-    {
-      "epoch": 0.8449004224502112,
-      "grad_norm": 0.7695516347885132,
-      "learning_rate": 0.00029369042810199416,
-      "loss": 0.1453,
-      "mean_token_accuracy": 0.9618589824438095,
-      "num_tokens": 1880091.0,
-      "step": 350
-    },
-    {
-      "epoch": 0.9052504526252263,
-      "grad_norm": 0.4800753593444824,
-      "learning_rate": 0.0002924345555580135,
-      "loss": 0.1227,
-      "mean_token_accuracy": 0.9672258603572845,
-      "num_tokens": 2031547.0,
-      "step": 375
-    },
-    {
-      "epoch": 0.9656004828002414,
-      "grad_norm": 0.5669476985931396,
-      "learning_rate": 0.000291067971369783,
-      "loss": 0.1207,
-      "mean_token_accuracy": 0.96809639275074,
-      "num_tokens": 2147237.0,
-      "step": 400
-    },
-    {
-      "epoch": 1.0,
-      "eval_loss": 0.12038072198629379,
-      "eval_mean_token_accuracy": 0.9679264332797076,
-      "eval_num_tokens": 2223513.0,
-      "eval_runtime": 60.431,
-      "eval_samples_per_second": 6.106,
-      "eval_steps_per_second": 3.061,
-      "step": 415
-    },
-    {
-      "epoch": 1.024140012070006,
-      "grad_norm": 0.31214025616645813,
-      "learning_rate": 0.0002895917377569438,
-      "loss": 0.127,
-      "mean_token_accuracy": 0.966964461139797,
-      "num_tokens": 2291189.0,
-      "step": 425
-    },
-    {
-      "epoch": 1.0844900422450212,
-      "grad_norm": 0.4406073987483978,
-      "learning_rate": 0.00028800700216752875,
-      "loss": 0.0904,
-      "mean_token_accuracy": 0.9758492666482925,
-      "num_tokens": 2426566.0,
-      "step": 450
-    },
-    {
-      "epoch": 1.1448400724200363,
-      "grad_norm": 0.4013468325138092,
-      "learning_rate": 0.00028631499638607285,
-      "loss": 0.114,
-      "mean_token_accuracy": 0.9697561454772949,
-      "num_tokens": 2560245.0,
-      "step": 475
-    },
-    {
-      "epoch": 1.2051901025950513,
-      "grad_norm": 0.3366129994392395,
-      "learning_rate": 0.0002845170355761712,
-      "loss": 0.0827,
-      "mean_token_accuracy": 0.9783335107564927,
-      "num_tokens": 2695786.0,
-      "step": 500
-    },
-    {
-      "epoch": 1.2655401327700664,
-      "grad_norm": 0.33777478337287903,
-      "learning_rate": 0.0002826145172582274,
-      "loss": 0.1049,
-      "mean_token_accuracy": 0.9726521408557892,
-      "num_tokens": 2827828.0,
-      "step": 525
-    },
-    {
-      "epoch": 1.3258901629450814,
-      "grad_norm": 0.34536224603652954,
-      "learning_rate": 0.00028060892022318764,
-      "loss": 0.0827,
-      "mean_token_accuracy": 0.9780162799358368,
-      "num_tokens": 2959671.0,
-      "step": 550
-    },
-    {
-      "epoch": 1.3862401931200965,
-      "grad_norm": 0.34014376997947693,
-      "learning_rate": 0.0002785018033831051,
-      "loss": 0.1,
-      "mean_token_accuracy": 0.9745338922739029,
-      "num_tokens": 3092256.0,
-      "step": 575
-    },
-    {
-      "epoch": 1.4465902232951118,
-      "grad_norm": 0.26126986742019653,
-      "learning_rate": 0.0002762948045594276,
-      "loss": 0.0784,
-      "mean_token_accuracy": 0.98013427734375,
-      "num_tokens": 3225551.0,
-      "step": 600
-    },
-    {
-      "epoch": 1.5069402534701268,
-      "grad_norm": 0.25581225752830505,
-      "learning_rate": 0.0002739896392099502,
-      "loss": 0.0992,
-      "mean_token_accuracy": 0.9744413161277771,
-      "num_tokens": 3358590.0,
-      "step": 625
-    },
-    {
-      "epoch": 1.567290283645142,
-      "grad_norm": 0.38688021898269653,
-      "learning_rate": 0.00027158809909542307,
-      "loss": 0.0746,
-      "mean_token_accuracy": 0.9804132694005966,
-      "num_tokens": 3494044.0,
-      "step": 650
-    },
-    {
-      "epoch": 1.627640313820157,
-      "grad_norm": 0.2373267114162445,
-      "learning_rate": 0.00026909205088685,
-      "loss": 0.0976,
-      "mean_token_accuracy": 0.9745747190713883,
-      "num_tokens": 3627751.0,
-      "step": 675
-    },
-    {
-      "epoch": 1.687990343995172,
-      "grad_norm": 0.37386244535446167,
-      "learning_rate": 0.0002665034347145612,
-      "loss": 0.0751,
-      "mean_token_accuracy": 0.9802791184186935,
-      "num_tokens": 3762776.0,
-      "step": 700
-    },
-    {
-      "epoch": 1.748340374170187,
-      "grad_norm": 0.276994526386261,
-      "learning_rate": 0.000263824262660187,
-      "loss": 0.097,
-      "mean_token_accuracy": 0.9747868567705155,
-      "num_tokens": 3896978.0,
-      "step": 725
-    },
-    {
-      "epoch": 1.8086904043452021,
-      "grad_norm": 0.4135245978832245,
-      "learning_rate": 0.0002610566171927056,
-      "loss": 0.0706,
-      "mean_token_accuracy": 0.9817547309398651,
-      "num_tokens": 4034768.0,
-      "step": 750
-    },
-    {
-      "epoch": 1.8690404345202172,
-      "grad_norm": 0.15843796730041504,
-      "learning_rate": 0.00025820264954977976,
-      "loss": 0.0889,
-      "mean_token_accuracy": 0.9776063919067383,
-      "num_tokens": 4169906.0,
-      "step": 775
-    },
-    {
-      "epoch": 1.9293904646952322,
-      "grad_norm": 0.30585798621177673,
-      "learning_rate": 0.00025526457806564136,
-      "loss": 0.0668,
-      "mean_token_accuracy": 0.9821723079681397,
-      "num_tokens": 4305541.0,
-      "step": 800
-    },
-    {
-      "epoch": 1.9897404948702473,
-      "grad_norm": 0.23672625422477722,
-      "learning_rate": 0.00025224468644682245,
-      "loss": 0.0777,
-      "mean_token_accuracy": 0.9801788556575776,
-      "num_tokens": 4429095.0,
-      "step": 825
-    },
-    {
-      "epoch": 2.0,
-      "eval_loss": 0.08333630114793777,
-      "eval_mean_token_accuracy": 0.9790130283381487,
-      "eval_num_tokens": 4447026.0,
-      "eval_runtime": 60.4769,
-      "eval_samples_per_second": 6.101,
-      "eval_steps_per_second": 3.059,
-      "step": 830
-    },
-    {
-      "epoch": 2.048280024140012,
-      "grad_norm": 0.2790965139865875,
-      "learning_rate": 0.00024914532199707444,
-      "loss": 0.0737,
-      "mean_token_accuracy": 0.9818082832798516,
-      "num_tokens": 4573150.0,
-      "step": 850
-    },
-    {
-      "epoch": 2.1086300543150274,
-      "grad_norm": 0.38501349091529846,
-      "learning_rate": 0.00024596889379285353,
-      "loss": 0.0609,
-      "mean_token_accuracy": 0.9846205246448517,
-      "num_tokens": 4696253.0,
-      "step": 875
-    },
-    {
-      "epoch": 2.1689800844900424,
-      "grad_norm": 0.3383895754814148,
-      "learning_rate": 0.00024271787081079228,
-      "loss": 0.0731,
-      "mean_token_accuracy": 0.9802233374118805,
-      "num_tokens": 4842241.0,
-      "step": 900
-    },
-    {
-      "epoch": 2.2293301146650575,
-      "grad_norm": 0.21086572110652924,
-      "learning_rate": 0.00023939478000861117,
-      "loss": 0.0596,
-      "mean_token_accuracy": 0.9851127731800079,
-      "num_tokens": 4965545.0,
-      "step": 925
-    },
-    {
-      "epoch": 2.2896801448400725,
-      "grad_norm": 0.20826084911823273,
-      "learning_rate": 0.00023600220436096318,
-      "loss": 0.0759,
-      "mean_token_accuracy": 0.9797697293758393,
-      "num_tokens": 5111070.0,
-      "step": 950
-    },
-    {
-      "epoch": 2.3500301750150876,
-      "grad_norm": 0.2537970244884491,
-      "learning_rate": 0.00023254278085173684,
-      "loss": 0.059,
-      "mean_token_accuracy": 0.9851009005308151,
-      "num_tokens": 5235251.0,
-      "step": 975
-    },
-    {
-      "epoch": 2.4103802051901027,
-      "grad_norm": 0.2794428765773773,
-      "learning_rate": 0.00022901919842437972,
-      "loss": 0.0671,
-      "mean_token_accuracy": 0.9823657035827636,
-      "num_tokens": 5379177.0,
-      "step": 1000
-    },
-    {
-      "epoch": 2.4707302353651177,
-      "grad_norm": 0.23955030739307404,
-      "learning_rate": 0.00022543419589183397,
-      "loss": 0.06,
-      "mean_token_accuracy": 0.9847251123189926,
-      "num_tokens": 5501778.0,
-      "step": 1025
-    },
-    {
-      "epoch": 2.5310802655401328,
-      "grad_norm": 0.24202412366867065,
-      "learning_rate": 0.00022179055980770993,
-      "loss": 0.0702,
-      "mean_token_accuracy": 0.9814589565992355,
-      "num_tokens": 5646414.0,
-      "step": 1050
-    },
-    {
-      "epoch": 2.591430295715148,
-      "grad_norm": 0.18459561467170715,
-      "learning_rate": 0.0002180911223003513,
-      "loss": 0.062,
-      "mean_token_accuracy": 0.9842818379402161,
-      "num_tokens": 5771178.0,
-      "step": 1075
-    },
-    {
-      "epoch": 2.651780325890163,
-      "grad_norm": 0.21107763051986694,
-      "learning_rate": 0.00021433875887147627,
-      "loss": 0.0656,
-      "mean_token_accuracy": 0.982610120177269,
-      "num_tokens": 5916367.0,
-      "step": 1100
-    },
-    {
-      "epoch": 2.712130356065178,
-      "grad_norm": 0.12310996651649475,
-      "learning_rate": 0.00021053638616110525,
-      "loss": 0.056,
-      "mean_token_accuracy": 0.9858221507072449,
-      "num_tokens": 6039601.0,
-      "step": 1125
-    },
-    {
-      "epoch": 2.772480386240193,
-      "grad_norm": 0.0949612483382225,
-      "learning_rate": 0.00020668695968051274,
-      "loss": 0.062,
-      "mean_token_accuracy": 0.9835014945268631,
-      "num_tokens": 6183454.0,
-      "step": 1150
-    },
-    {
-      "epoch": 2.832830416415208,
-      "grad_norm": 0.23207980394363403,
-      "learning_rate": 0.00020279347151496482,
-      "loss": 0.0546,
-      "mean_token_accuracy": 0.9864810138940812,
-      "num_tokens": 6305513.0,
-      "step": 1175
-    },
-    {
-      "epoch": 2.8931804465902236,
-      "grad_norm": 0.14339599013328552,
-      "learning_rate": 0.00019885894799802922,
-      "loss": 0.0665,
-      "mean_token_accuracy": 0.982457509636879,
-      "num_tokens": 6450956.0,
-      "step": 1200
-    },
-    {
-      "epoch": 2.9535304767652386,
-      "grad_norm": 0.10236950218677521,
-      "learning_rate": 0.00019488644735926396,
-      "loss": 0.0538,
-      "mean_token_accuracy": 0.9864566326141357,
-      "num_tokens": 6574055.0,
-      "step": 1225
-    },
-    {
-      "epoch": 3.0,
-      "eval_loss": 0.0698639452457428,
-      "eval_mean_token_accuracy": 0.9828434982815304,
-      "eval_num_tokens": 6670539.0,
-      "eval_runtime": 60.4557,
-      "eval_samples_per_second": 6.104,
-      "eval_steps_per_second": 3.06,
-      "step": 1245
-    },
-    {
-      "epoch": 3.012070006035003,
-      "grad_norm": 0.19694368541240692,
-      "learning_rate": 0.00019087905734711452,
-      "loss": 0.0664,
-      "mean_token_accuracy": 0.98261449324716,
-      "num_tokens": 6707839.0,
-      "step": 1250
-    },
-    {
-      "epoch": 3.0724200362100182,
-      "grad_norm": 0.11810697615146637,
-      "learning_rate": 0.00018683989282886613,
-      "loss": 0.0468,
-      "mean_token_accuracy": 0.988110933303833,
-      "num_tokens": 6850375.0,
-      "step": 1275
-    },
-    {
-      "epoch": 3.1327700663850333,
-      "grad_norm": 0.18672189116477966,
-      "learning_rate": 0.0001827720933695173,
-      "loss": 0.054,
-      "mean_token_accuracy": 0.9859074687957764,
-      "num_tokens": 6976640.0,
-      "step": 1300
-    },
-    {
-      "epoch": 3.1931200965600484,
-      "grad_norm": 0.0706477090716362,
-      "learning_rate": 0.00017867882079145627,
-      "loss": 0.0458,
-      "mean_token_accuracy": 0.9881710064411163,
-      "num_tokens": 7116531.0,
-      "step": 1325
-    },
-    {
-      "epoch": 3.2534701267350634,
-      "grad_norm": 0.19763106107711792,
-      "learning_rate": 0.00017456325671683724,
-      "loss": 0.0542,
-      "mean_token_accuracy": 0.9864082312583924,
-      "num_tokens": 7244136.0,
-      "step": 1350
-    },
-    {
-      "epoch": 3.3138201569100785,
-      "grad_norm": 0.14251746237277985,
-      "learning_rate": 0.00017042860009456638,
-      "loss": 0.046,
-      "mean_token_accuracy": 0.9879621362686157,
-      "num_tokens": 7386096.0,
-      "step": 1375
-    },
-    {
-      "epoch": 3.3741701870850935,
-      "grad_norm": 0.1693497598171234,
-      "learning_rate": 0.00016627806471382066,
-      "loss": 0.0529,
-      "mean_token_accuracy": 0.9869521266222,
-      "num_tokens": 7513742.0,
-      "step": 1400
-    },
-    {
-      "epoch": 3.4345202172601086,
-      "grad_norm": 0.08023709058761597,
-      "learning_rate": 0.00016211487670603078,
-      "loss": 0.0459,
-      "mean_token_accuracy": 0.9879424357414246,
-      "num_tokens": 7655678.0,
-      "step": 1425
-    },
-    {
-      "epoch": 3.4948702474351236,
-      "grad_norm": 0.19639359414577484,
-      "learning_rate": 0.0001579422720372715,
-      "loss": 0.0567,
-      "mean_token_accuracy": 0.9857883536815644,
-      "num_tokens": 7780221.0,
-      "step": 1450
-    },
-    {
-      "epoch": 3.5552202776101387,
-      "grad_norm": 0.07502614706754684,
-      "learning_rate": 0.00015376349399300745,
-      "loss": 0.0452,
-      "mean_token_accuracy": 0.9880510932207107,
-      "num_tokens": 7919857.0,
-      "step": 1475
-    },
-    {
-      "epoch": 3.6155703077851538,
-      "grad_norm": 0.15008965134620667,
-      "learning_rate": 0.0001495817906571492,
-      "loss": 0.055,
-      "mean_token_accuracy": 0.9859279471635819,
-      "num_tokens": 8045749.0,
-      "step": 1500
-    },
-    {
-      "epoch": 3.675920337960169,
-      "grad_norm": 0.08942336589097977,
-      "learning_rate": 0.00014540041238738055,
-      "loss": 0.0456,
-      "mean_token_accuracy": 0.9880678504705429,
-      "num_tokens": 8186860.0,
-      "step": 1525
-    },
-    {
-      "epoch": 3.736270368135184,
-      "grad_norm": 0.15885671973228455,
-      "learning_rate": 0.00014122260928871734,
-      "loss": 0.0546,
-      "mean_token_accuracy": 0.9859816372394562,
-      "num_tokens": 8314411.0,
-      "step": 1550
-    },
-    {
-      "epoch": 3.796620398310199,
-      "grad_norm": 0.08140072971582413,
-      "learning_rate": 0.00013705162868726396,
-      "loss": 0.0448,
-      "mean_token_accuracy": 0.9879288977384567,
-      "num_tokens": 8459434.0,
-      "step": 1575
-    },
-    {
-      "epoch": 3.856970428485214,
-      "grad_norm": 0.14952507615089417,
-      "learning_rate": 0.00013289071260612855,
-      "loss": 0.0509,
-      "mean_token_accuracy": 0.9866566967964172,
-      "num_tokens": 8588677.0,
-      "step": 1600
-    },
-    {
-      "epoch": 3.9173204586602295,
-      "grad_norm": 0.08463295549154282,
-      "learning_rate": 0.00012874309524546083,
-      "loss": 0.0434,
-      "mean_token_accuracy": 0.9884845250844956,
-      "num_tokens": 8728697.0,
-      "step": 1625
-    },
-    {
-      "epoch": 3.9776704888352445,
-      "grad_norm": 0.14282330870628357,
-      "learning_rate": 0.00012461200046857084,
-      "loss": 0.0489,
-      "mean_token_accuracy": 0.9877329683303833,
-      "num_tokens": 8849522.0,
-      "step": 1650
-    },
-    {
-      "epoch": 4.0,
-      "eval_loss": 0.06439081579446793,
-      "eval_mean_token_accuracy": 0.9848004015716346,
-      "eval_num_tokens": 8894052.0,
-      "eval_runtime": 60.4081,
-      "eval_samples_per_second": 6.108,
-      "eval_steps_per_second": 3.063,
-      "step": 1660
-    },
-    {
-      "epoch": 4.036210018105009,
-      "grad_norm": 0.09698522090911865,
-      "learning_rate": 0.00012050063929608123,
-      "loss": 0.0455,
-      "mean_token_accuracy": 0.9885102627203637,
-      "num_tokens": 8991994.0,
-      "step": 1675
-    },
-    {
-      "epoch": 4.096560048280024,
-      "grad_norm": 0.0668676421046257,
-      "learning_rate": 0.0001164122074100633,
-      "loss": 0.041,
-      "mean_token_accuracy": 0.9895569503307342,
-      "num_tokens": 9121732.0,
-      "step": 1700
-    },
-    {
-      "epoch": 4.15691007845504,
-      "grad_norm": 0.0820237323641777,
-      "learning_rate": 0.00011234988267009415,
-      "loss": 0.0443,
-      "mean_token_accuracy": 0.9885162824392318,
-      "num_tokens": 9262923.0,
-      "step": 1725
-    },
-    {
-      "epoch": 4.217260108630055,
-      "grad_norm": 0.07873061299324036,
-      "learning_rate": 0.00010831682264316787,
-      "loss": 0.0417,
-      "mean_token_accuracy": 0.9893530422449112,
-      "num_tokens": 9391281.0,
-      "step": 1750
-    },
-    {
-      "epoch": 4.27761013880507,
-      "grad_norm": 0.14161907136440277,
-      "learning_rate": 0.00010431616214937911,
-      "loss": 0.044,
-      "mean_token_accuracy": 0.9886807698011398,
-      "num_tokens": 9528910.0,
-      "step": 1775
-    },
-    {
-      "epoch": 4.337960168980085,
-      "grad_norm": 0.11667165160179138,
-      "learning_rate": 0.00010035101082528777,
-      "loss": 0.0411,
-      "mean_token_accuracy": 0.9895562261343003,
-      "num_tokens": 9657454.0,
-      "step": 1800
-    },
-    {
-      "epoch": 4.3983101991551,
-      "grad_norm": 0.1089748963713646,
-      "learning_rate": 9.642445070685809e-05,
-      "loss": 0.0445,
-      "mean_token_accuracy": 0.9886202031373977,
-      "num_tokens": 9797754.0,
-      "step": 1825
-    },
-    {
-      "epoch": 4.458660229330115,
-      "grad_norm": 0.11159568279981613,
-      "learning_rate": 9.253953383385157e-05,
-      "loss": 0.041,
-      "mean_token_accuracy": 0.9896017628908157,
-      "num_tokens": 9926999.0,
-      "step": 1850
-    },
-    {
-      "epoch": 4.51901025950513,
-      "grad_norm": 0.06931650638580322,
-      "learning_rate": 8.869927987753459e-05,
-      "loss": 0.0445,
-      "mean_token_accuracy": 0.9883027869462967,
-      "num_tokens": 10067224.0,
-      "step": 1875
-    },
-    {
-      "epoch": 4.579360289680145,
-      "grad_norm": 0.06088819354772568,
-      "learning_rate": 8.490667379354661e-05,
-      "loss": 0.0411,
-      "mean_token_accuracy": 0.9894358485937118,
-      "num_tokens": 10196460.0,
-      "step": 1900
-    },
-    {
-      "epoch": 4.63971031985516,
-      "grad_norm": 0.09456664323806763,
-      "learning_rate": 8.116466350175079e-05,
-      "loss": 0.0436,
-      "mean_token_accuracy": 0.9884065991640091,
-      "num_tokens": 10335320.0,
-      "step": 1925
-    },
-    {
-      "epoch": 4.700060350030175,
-      "grad_norm": 0.06058884039521217,
-      "learning_rate": 7.747615759487304e-05,
-      "loss": 0.0412,
-      "mean_token_accuracy": 0.9891911673545838,
-      "num_tokens": 10465180.0,
-      "step": 1950
-    },
-    {
-      "epoch": 4.76041038020519,
-      "grad_norm": 0.08679672330617905,
-      "learning_rate": 7.38440230777085e-05,
-      "loss": 0.042,
-      "mean_token_accuracy": 0.988958535194397,
-      "num_tokens": 10603341.0,
-      "step": 1975
-    },
-    {
-      "epoch": 4.820760410380205,
-      "grad_norm": 0.1154605895280838,
-      "learning_rate": 7.027108313865378e-05,
-      "loss": 0.0409,
-      "mean_token_accuracy": 0.9893914723396301,
-      "num_tokens": 10730981.0,
-      "step": 2000
-    },
-    {
-      "epoch": 4.88111044055522,
-      "grad_norm": 0.06791651248931885,
-      "learning_rate": 6.676011495529687e-05,
-      "loss": 0.0446,
-      "mean_token_accuracy": 0.9883267271518708,
-      "num_tokens": 10870777.0,
-      "step": 2025
-    },
-    {
-      "epoch": 4.941460470730235,
-      "grad_norm": 0.08565431088209152,
-      "learning_rate": 6.331384753577056e-05,
-      "loss": 0.0399,
-      "mean_token_accuracy": 0.9895966738462448,
-      "num_tokens": 11000621.0,
-      "step": 2050
-    },
-    {
-      "epoch": 5.0,
-      "grad_norm": 0.22377392649650574,
-      "learning_rate": 5.993495959754631e-05,
-      "loss": 0.0455,
-      "mean_token_accuracy": 0.9887414543899065,
-      "num_tokens": 11117565.0,
-      "step": 2075
-    },
-    {
-      "epoch": 5.0,
-      "eval_loss": 0.06433924287557602,
-      "eval_mean_token_accuracy": 0.9855138524158581,
-      "eval_num_tokens": 11117565.0,
-      "eval_runtime": 60.4738,
-      "eval_samples_per_second": 6.102,
-      "eval_steps_per_second": 3.059,
-      "step": 2075
-    },
-    {
-      "epoch": 5.060350030175015,
-      "grad_norm": 0.05409841611981392,
-      "learning_rate": 5.662607748531929e-05,
-      "loss": 0.0364,
-      "mean_token_accuracy": 0.9907305973768235,
-      "num_tokens": 11273820.0,
-      "step": 2100
-    },
-    {
-      "epoch": 5.12070006035003,
-      "grad_norm": 0.1024293601512909,
-      "learning_rate": 5.338977312960054e-05,
-      "loss": 0.0408,
-      "mean_token_accuracy": 0.9899086666107177,
-      "num_tokens": 11392331.0,
-      "step": 2125
-    },
-    {
-      "epoch": 5.181050090525045,
-      "grad_norm": 0.05246591940522194,
-      "learning_rate": 5.022856204760504e-05,
-      "loss": 0.0345,
-      "mean_token_accuracy": 0.9910158616304398,
-      "num_tokens": 11546389.0,
-      "step": 2150
-    },
-    {
-      "epoch": 5.24140012070006,
-      "grad_norm": 0.060115642845630646,
-      "learning_rate": 4.7144901387988374e-05,
-      "loss": 0.042,
-      "mean_token_accuracy": 0.9893210279941559,
-      "num_tokens": 11662018.0,
-      "step": 2175
-    },
-    {
-      "epoch": 5.301750150875075,
-      "grad_norm": 0.03442906215786934,
-      "learning_rate": 4.4141188020952563e-05,
-      "loss": 0.035,
-      "mean_token_accuracy": 0.9907086199522018,
-      "num_tokens": 11813081.0,
-      "step": 2200
-    },
-    {
-      "epoch": 5.36210018105009,
-      "grad_norm": 0.1862672120332718,
-      "learning_rate": 4.1219756675204454e-05,
-      "loss": 0.0424,
-      "mean_token_accuracy": 0.9893416905403137,
-      "num_tokens": 11929378.0,
-      "step": 2225
-    },
-    {
-      "epoch": 5.422450211225105,
-      "grad_norm": 0.07623168081045151,
-      "learning_rate": 3.838287812321625e-05,
-      "loss": 0.0351,
-      "mean_token_accuracy": 0.9907009029388427,
-      "num_tokens": 12081472.0,
-      "step": 2250
-    },
-    {
-      "epoch": 5.4828002414001205,
-      "grad_norm": 0.06428077071905136,
-      "learning_rate": 3.5632757416197544e-05,
-      "loss": 0.0421,
-      "mean_token_accuracy": 0.9895154988765716,
-      "num_tokens": 12196748.0,
-      "step": 2275
-    },
-    {
-      "epoch": 5.5431502715751355,
-      "grad_norm": 0.068906769156456,
-      "learning_rate": 3.297153217015155e-05,
-      "loss": 0.0342,
-      "mean_token_accuracy": 0.9909313732385635,
-      "num_tokens": 12350085.0,
-      "step": 2300
-    },
-    {
-      "epoch": 5.603500301750151,
-      "grad_norm": 0.07222025096416473,
-      "learning_rate": 3.0401270904346992e-05,
-      "loss": 0.0422,
-      "mean_token_accuracy": 0.9896631228923798,
-      "num_tokens": 12465741.0,
-      "step": 2325
-    },
-    {
-      "epoch": 5.663850331925166,
-      "grad_norm": 0.034042615443468094,
-      "learning_rate": 2.7923971433497916e-05,
-      "loss": 0.0348,
-      "mean_token_accuracy": 0.9910916513204575,
-      "num_tokens": 12614319.0,
-      "step": 2350
-    },
-    {
-      "epoch": 5.724200362100181,
-      "grad_norm": 0.0871252715587616,
-      "learning_rate": 2.554155931490085e-05,
-      "loss": 0.042,
-      "mean_token_accuracy": 0.9893966799974442,
-      "num_tokens": 12729408.0,
-      "step": 2375
-    },
-    {
-      "epoch": 5.784550392275197,
-      "grad_norm": 0.06857438385486603,
-      "learning_rate": 2.3255886351735707e-05,
-      "loss": 0.0345,
-      "mean_token_accuracy": 0.9911176520586014,
-      "num_tokens": 12881673.0,
-      "step": 2400
-    },
-    {
-      "epoch": 5.844900422450211,
-      "grad_norm": 0.05396943911910057,
-      "learning_rate": 2.1068729153695202e-05,
-      "loss": 0.0412,
-      "mean_token_accuracy": 0.9895374321937561,
-      "num_tokens": 12998547.0,
-      "step": 2425
-    },
-    {
-      "epoch": 5.905250452625227,
-      "grad_norm": 0.06302431225776672,
-      "learning_rate": 1.898178775605993e-05,
-      "loss": 0.0343,
-      "mean_token_accuracy": 0.9911952644586564,
-      "num_tokens": 13150684.0,
-      "step": 2450
-    },
-    {
-      "epoch": 5.965600482800241,
-      "grad_norm": 0.07096060365438461,
-      "learning_rate": 1.699668429829371e-05,
-      "loss": 0.0421,
-      "mean_token_accuracy": 0.9896035212278366,
-      "num_tokens": 13267098.0,
-      "step": 2475
-    },
-    {
-      "epoch": 6.0,
-      "eval_loss": 0.06792046874761581,
-      "eval_mean_token_accuracy": 0.9855454238685402,
-      "eval_num_tokens": 13341078.0,
-      "eval_runtime": 60.4692,
-      "eval_samples_per_second": 6.102,
-      "eval_steps_per_second": 3.059,
-      "step": 2490
-    },
-    {
-      "epoch": 6.024140012070006,
-      "grad_norm": 0.03419194370508194,
-      "learning_rate": 1.5114961763185767e-05,
-      "loss": 0.036,
-      "mean_token_accuracy": 0.9912838776087024,
-      "num_tokens": 13409747.0,
-      "step": 2500
-    },
-    {
-      "epoch": 6.084490042245021,
-      "grad_norm": 0.04583967849612236,
-      "learning_rate": 1.333808277751982e-05,
-      "loss": 0.0355,
-      "mean_token_accuracy": 0.9911697876453399,
-      "num_tokens": 13543091.0,
-      "step": 2525
-    },
-    {
-      "epoch": 6.1448400724200365,
-      "grad_norm": 0.08613435924053192,
-      "learning_rate": 1.1667428475202346e-05,
-      "loss": 0.0389,
-      "mean_token_accuracy": 0.9905799520015717,
-      "num_tokens": 13676722.0,
-      "step": 2550
-    },
-    {
-      "epoch": 6.2051901025950515,
-      "grad_norm": 0.03928713873028755,
-      "learning_rate": 1.0104297423733754e-05,
-      "loss": 0.0351,
-      "mean_token_accuracy": 0.9910022914409637,
-      "num_tokens": 13812558.0,
-      "step": 2575
-    },
-    {
-      "epoch": 6.265540132770067,
-      "grad_norm": 0.06847941875457764,
-      "learning_rate": 8.649904614856745e-06,
-      "loss": 0.0376,
-      "mean_token_accuracy": 0.9908625483512878,
-      "num_tokens": 13944156.0,
-      "step": 2600
-    },
-    {
-      "epoch": 6.325890162945082,
-      "grad_norm": 0.04187481850385666,
-      "learning_rate": 7.305380520166787e-06,
-      "loss": 0.0353,
-      "mean_token_accuracy": 0.99121277987957,
-      "num_tokens": 14077996.0,
-      "step": 2625
-    },
-    {
-      "epoch": 6.386240193120097,
-      "grad_norm": 0.05228370800614357,
-      "learning_rate": 6.071770212417865e-06,
-      "loss": 0.038,
-      "mean_token_accuracy": 0.9907623606920243,
-      "num_tokens": 14209989.0,
-      "step": 2650
-    },
-    {
-      "epoch": 6.446590223295112,
-      "grad_norm": 0.05377688258886337,
-      "learning_rate": 4.950032553207933e-06,
-      "loss": 0.0351,
-      "mean_token_accuracy": 0.9913447058200836,
-      "num_tokens": 14345595.0,
-      "step": 2675
-    },
-    {
-      "epoch": 6.506940253470127,
-      "grad_norm": 0.05398739501833916,
-      "learning_rate": 3.941039447673899e-06,
-      "loss": 0.0381,
-      "mean_token_accuracy": 0.9907483822107315,
-      "num_tokens": 14478023.0,
-      "step": 2700
-    },
-    {
-      "epoch": 6.567290283645142,
-      "grad_norm": 0.07123041898012161,
-      "learning_rate": 3.045575166776637e-06,
-      "loss": 0.0355,
-      "mean_token_accuracy": 0.9912656211853027,
-      "num_tokens": 14612168.0,
-      "step": 2725
-    },
-    {
-      "epoch": 6.627640313820157,
-      "grad_norm": 0.04036920517683029,
-      "learning_rate": 2.2643357377022166e-06,
-      "loss": 0.0375,
-      "mean_token_accuracy": 0.9909009331464768,
-      "num_tokens": 14746387.0,
-      "step": 2750
-    },
-    {
-      "epoch": 6.687990343995172,
-      "grad_norm": 0.0672079548239708,
-      "learning_rate": 1.5979284028533657e-06,
-      "loss": 0.0348,
-      "mean_token_accuracy": 0.9912589013576507,
-      "num_tokens": 14882432.0,
-      "step": 2775
-    },
-    {
-      "epoch": 6.748340374170187,
-      "grad_norm": 0.1160384863615036,
-      "learning_rate": 1.0468711478515634e-06,
-      "loss": 0.038,
-      "mean_token_accuracy": 0.9906939738988876,
-      "num_tokens": 15015587.0,
-      "step": 2800
-    },
-    {
-      "epoch": 6.808690404345202,
-      "grad_norm": 0.0944758802652359,
-      "learning_rate": 6.115922989167854e-07,
-      "loss": 0.0354,
-      "mean_token_accuracy": 0.9911619573831558,
-      "num_tokens": 15149992.0,
-      "step": 2825
-    },
-    {
-      "epoch": 6.869040434520217,
-      "grad_norm": 0.03637438267469406,
-      "learning_rate": 2.924301899377701e-07,
-      "loss": 0.0368,
-      "mean_token_accuracy": 0.9910277312994004,
-      "num_tokens": 15286669.0,
-      "step": 2850
-    },
-    {
-      "epoch": 6.929390464695232,
-      "grad_norm": 0.052068039774894714,
-      "learning_rate": 8.963289949159846e-08,
-      "loss": 0.035,
-      "mean_token_accuracy": 0.9913343608379364,
-      "num_tokens": 15422940.0,
-      "step": 2875
-    },
-    {
-      "epoch": 6.989740494870247,
-      "grad_norm": 0.06000155210494995,
-      "learning_rate": 3.3580580169223494e-09,
-      "loss": 0.039,
-      "mean_token_accuracy": 0.9905970013141632,
-      "num_tokens": 15546367.0,
-      "step": 2900
-    },
-    {
-      "epoch": 7.0,
-      "eval_loss": 0.07053171843290329,
-      "eval_mean_token_accuracy": 0.9854891390413851,
-      "eval_num_tokens": 15564591.0,
-      "eval_runtime": 60.5124,
-      "eval_samples_per_second": 6.098,
-      "eval_steps_per_second": 3.057,
-      "step": 2905
-    }
-  ],
-  "logging_steps": 25,
-  "max_steps": 2905,
-  "num_input_tokens_seen": 0,
-  "num_train_epochs": 7,
-  "save_steps": 500,
-  "stateful_callbacks": {
-    "TrainerControl": {
-      "args": {
-        "should_epoch_stop": false,
-        "should_evaluate": false,
-        "should_log": false,
-        "should_save": true,
-        "should_training_stop": true
-      },
-      "attributes": {}
-    }
-  },
-  "total_flos": 6.73149667960873e+17,
-  "train_batch_size": 2,
-  "trial_name": null,
-  "trial_params": null
-}

checkpoint-2905/training_args.bin

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:837f73e1808d10388c3e9d0067719323e5731b8387ed3c99bcbeb463cf7ac167
-size 6033