Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: Qwen/Qwen1.5-0.5B-Chat
+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 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen1.5-0.5B-Chat",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "v_proj",
+    "up_proj",
+    "down_proj",
+    "o_proj",
+    "q_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b401a8996e1094a3ea616fc7f7226bdf80cd30ccb2ddbd87762a19b280fd0f39
+size 121155320

last-checkpoint/added_tokens.json

@@ -0,0 +1,5 @@
+{
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd67a688192c0222264a6c41cb51fae902e274ef2e310a9285bad9253a74207d
+size 61896852

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d9b21302b3043c033d4190a4eab85c75e7262c9b261a2438237e642de7538ff
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7e76384fe2e1907e44b199e48722ea251cbbcfea1285f875115318fffa6d887
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,20 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
+size 11418266

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,408 @@
+{
+  "best_metric": 1.4689046144485474,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 2.857142857142857,
+  "eval_steps": 50,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.05714285714285714,
+      "grad_norm": 6.932616233825684,
+      "learning_rate": 1e-05,
+      "loss": 2.647,
+      "step": 1
+    },
+    {
+      "epoch": 0.05714285714285714,
+      "eval_loss": 3.8393256664276123,
+      "eval_runtime": 0.5253,
+      "eval_samples_per_second": 57.107,
+      "eval_steps_per_second": 15.229,
+      "step": 1
+    },
+    {
+      "epoch": 0.11428571428571428,
+      "grad_norm": 17.747432708740234,
+      "learning_rate": 2e-05,
+      "loss": 3.1974,
+      "step": 2
+    },
+    {
+      "epoch": 0.17142857142857143,
+      "grad_norm": 50.56644058227539,
+      "learning_rate": 3e-05,
+      "loss": 5.3134,
+      "step": 3
+    },
+    {
+      "epoch": 0.22857142857142856,
+      "grad_norm": 39.969383239746094,
+      "learning_rate": 4e-05,
+      "loss": 5.3661,
+      "step": 4
+    },
+    {
+      "epoch": 0.2857142857142857,
+      "grad_norm": 2.693161964416504,
+      "learning_rate": 5e-05,
+      "loss": 2.3584,
+      "step": 5
+    },
+    {
+      "epoch": 0.34285714285714286,
+      "grad_norm": 3.9389383792877197,
+      "learning_rate": 6e-05,
+      "loss": 2.494,
+      "step": 6
+    },
+    {
+      "epoch": 0.4,
+      "grad_norm": 16.83061981201172,
+      "learning_rate": 7e-05,
+      "loss": 4.4394,
+      "step": 7
+    },
+    {
+      "epoch": 0.45714285714285713,
+      "grad_norm": 17.723873138427734,
+      "learning_rate": 8e-05,
+      "loss": 4.5342,
+      "step": 8
+    },
+    {
+      "epoch": 0.5142857142857142,
+      "grad_norm": 1.7711833715438843,
+      "learning_rate": 9e-05,
+      "loss": 2.152,
+      "step": 9
+    },
+    {
+      "epoch": 0.5714285714285714,
+      "grad_norm": 2.3844153881073,
+      "learning_rate": 0.0001,
+      "loss": 2.1481,
+      "step": 10
+    },
+    {
+      "epoch": 0.6285714285714286,
+      "grad_norm": 5.348583698272705,
+      "learning_rate": 9.986661418317759e-05,
+      "loss": 2.2778,
+      "step": 11
+    },
+    {
+      "epoch": 0.6857142857142857,
+      "grad_norm": 11.029891967773438,
+      "learning_rate": 9.946716840375551e-05,
+      "loss": 3.0457,
+      "step": 12
+    },
+    {
+      "epoch": 0.7428571428571429,
+      "grad_norm": 1.6746666431427002,
+      "learning_rate": 9.880379387779637e-05,
+      "loss": 1.8864,
+      "step": 13
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 2.1320276260375977,
+      "learning_rate": 9.78800299954203e-05,
+      "loss": 1.8959,
+      "step": 14
+    },
+    {
+      "epoch": 0.8571428571428571,
+      "grad_norm": 4.286759376525879,
+      "learning_rate": 9.67008054366274e-05,
+      "loss": 1.9878,
+      "step": 15
+    },
+    {
+      "epoch": 0.9142857142857143,
+      "grad_norm": 5.656648635864258,
+      "learning_rate": 9.527241187465734e-05,
+      "loss": 1.7362,
+      "step": 16
+    },
+    {
+      "epoch": 0.9714285714285714,
+      "grad_norm": 2.024832248687744,
+      "learning_rate": 9.360247040719039e-05,
+      "loss": 1.8654,
+      "step": 17
+    },
+    {
+      "epoch": 1.0285714285714285,
+      "grad_norm": 6.288355350494385,
+      "learning_rate": 9.16998908944939e-05,
+      "loss": 2.447,
+      "step": 18
+    },
+    {
+      "epoch": 1.0857142857142856,
+      "grad_norm": 1.7026642560958862,
+      "learning_rate": 8.957482442146272e-05,
+      "loss": 1.6209,
+      "step": 19
+    },
+    {
+      "epoch": 1.1428571428571428,
+      "grad_norm": 3.0923917293548584,
+      "learning_rate": 8.72386091371891e-05,
+      "loss": 1.6806,
+      "step": 20
+    },
+    {
+      "epoch": 1.2,
+      "grad_norm": 3.1564972400665283,
+      "learning_rate": 8.47037097610317e-05,
+      "loss": 0.9157,
+      "step": 21
+    },
+    {
+      "epoch": 1.2571428571428571,
+      "grad_norm": 3.0172536373138428,
+      "learning_rate": 8.198365107794457e-05,
+      "loss": 1.6018,
+      "step": 22
+    },
+    {
+      "epoch": 1.3142857142857143,
+      "grad_norm": 1.6614283323287964,
+      "learning_rate": 7.909294577789766e-05,
+      "loss": 1.4801,
+      "step": 23
+    },
+    {
+      "epoch": 1.3714285714285714,
+      "grad_norm": 2.370166301727295,
+      "learning_rate": 7.604701702439651e-05,
+      "loss": 1.2607,
+      "step": 24
+    },
+    {
+      "epoch": 1.4285714285714286,
+      "grad_norm": 3.243105888366699,
+      "learning_rate": 7.286211616523193e-05,
+      "loss": 0.8806,
+      "step": 25
+    },
+    {
+      "epoch": 1.4857142857142858,
+      "grad_norm": 4.326461315155029,
+      "learning_rate": 6.95552360245078e-05,
+      "loss": 1.4185,
+      "step": 26
+    },
+    {
+      "epoch": 1.5428571428571427,
+      "grad_norm": 1.7340881824493408,
+      "learning_rate": 6.614402023857232e-05,
+      "loss": 1.5775,
+      "step": 27
+    },
+    {
+      "epoch": 1.6,
+      "grad_norm": 2.532961130142212,
+      "learning_rate": 6.264666911958404e-05,
+      "loss": 0.929,
+      "step": 28
+    },
+    {
+      "epoch": 1.657142857142857,
+      "grad_norm": 3.551696300506592,
+      "learning_rate": 5.908184254897182e-05,
+      "loss": 1.0279,
+      "step": 29
+    },
+    {
+      "epoch": 1.7142857142857144,
+      "grad_norm": 2.457855224609375,
+      "learning_rate": 5.546856041889373e-05,
+      "loss": 1.4616,
+      "step": 30
+    },
+    {
+      "epoch": 1.7714285714285714,
+      "grad_norm": 1.8725690841674805,
+      "learning_rate": 5.182610115288295e-05,
+      "loss": 1.4615,
+      "step": 31
+    },
+    {
+      "epoch": 1.8285714285714287,
+      "grad_norm": 2.7832159996032715,
+      "learning_rate": 4.817389884711705e-05,
+      "loss": 1.3045,
+      "step": 32
+    },
+    {
+      "epoch": 1.8857142857142857,
+      "grad_norm": 3.263268232345581,
+      "learning_rate": 4.4531439581106295e-05,
+      "loss": 1.0625,
+      "step": 33
+    },
+    {
+      "epoch": 1.9428571428571428,
+      "grad_norm": 2.7395882606506348,
+      "learning_rate": 4.0918157451028185e-05,
+      "loss": 1.7622,
+      "step": 34
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 4.847479820251465,
+      "learning_rate": 3.735333088041596e-05,
+      "loss": 1.075,
+      "step": 35
+    },
+    {
+      "epoch": 2.057142857142857,
+      "grad_norm": 1.2119523286819458,
+      "learning_rate": 3.38559797614277e-05,
+      "loss": 1.4441,
+      "step": 36
+    },
+    {
+      "epoch": 2.1142857142857143,
+      "grad_norm": 1.40659499168396,
+      "learning_rate": 3.0444763975492208e-05,
+      "loss": 1.1611,
+      "step": 37
+    },
+    {
+      "epoch": 2.1714285714285713,
+      "grad_norm": 2.3333632946014404,
+      "learning_rate": 2.7137883834768073e-05,
+      "loss": 1.0877,
+      "step": 38
+    },
+    {
+      "epoch": 2.2285714285714286,
+      "grad_norm": 2.755831718444824,
+      "learning_rate": 2.3952982975603496e-05,
+      "loss": 0.6574,
+      "step": 39
+    },
+    {
+      "epoch": 2.2857142857142856,
+      "grad_norm": 1.1510668992996216,
+      "learning_rate": 2.090705422210237e-05,
+      "loss": 1.4219,
+      "step": 40
+    },
+    {
+      "epoch": 2.342857142857143,
+      "grad_norm": 1.7422624826431274,
+      "learning_rate": 1.801634892205545e-05,
+      "loss": 1.1363,
+      "step": 41
+    },
+    {
+      "epoch": 2.4,
+      "grad_norm": 2.6333487033843994,
+      "learning_rate": 1.5296290238968303e-05,
+      "loss": 0.6638,
+      "step": 42
+    },
+    {
+      "epoch": 2.4571428571428573,
+      "grad_norm": 4.440356731414795,
+      "learning_rate": 1.2761390862810907e-05,
+      "loss": 0.7639,
+      "step": 43
+    },
+    {
+      "epoch": 2.5142857142857142,
+      "grad_norm": 1.131514072418213,
+      "learning_rate": 1.0425175578537299e-05,
+      "loss": 1.3823,
+      "step": 44
+    },
+    {
+      "epoch": 2.571428571428571,
+      "grad_norm": 1.678874135017395,
+      "learning_rate": 8.30010910550611e-06,
+      "loss": 1.1248,
+      "step": 45
+    },
+    {
+      "epoch": 2.6285714285714286,
+      "grad_norm": 2.462118148803711,
+      "learning_rate": 6.397529592809614e-06,
+      "loss": 0.8621,
+      "step": 46
+    },
+    {
+      "epoch": 2.685714285714286,
+      "grad_norm": 3.6006405353546143,
+      "learning_rate": 4.727588125342669e-06,
+      "loss": 0.6778,
+      "step": 47
+    },
+    {
+      "epoch": 2.742857142857143,
+      "grad_norm": 1.086060881614685,
+      "learning_rate": 3.299194563372604e-06,
+      "loss": 1.3137,
+      "step": 48
+    },
+    {
+      "epoch": 2.8,
+      "grad_norm": 1.4581565856933594,
+      "learning_rate": 2.1199700045797077e-06,
+      "loss": 1.1256,
+      "step": 49
+    },
+    {
+      "epoch": 2.857142857142857,
+      "grad_norm": 1.9829723834991455,
+      "learning_rate": 1.196206122203647e-06,
+      "loss": 1.006,
+      "step": 50
+    },
+    {
+      "epoch": 2.857142857142857,
+      "eval_loss": 1.4689046144485474,
+      "eval_runtime": 0.5247,
+      "eval_samples_per_second": 57.17,
+      "eval_steps_per_second": 15.245,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 53,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3308579507404800.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:58fe71430bc7933cb99a221871845178cf4e27587d1ccde8f750cc4c08b8dbf3
+size 6840