Delete mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3

Browse files

Files changed (7) hide show

mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/README.md +0 -204
mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/adapter_config.json +0 -31
mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/adapter_model.safetensors +0 -3
mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/runs/Apr16_01-04-30_nora-linux/events.out.tfevents.1713254671.nora-linux.1279622.0 +0 -3
mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/training_log.json +0 -16
mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/training_parameters.json +0 -37
mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/training_prompt.json +0 -3

mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/README.md DELETED Viewed

@@ -1,204 +0,0 @@
----
-library_name: peft
-base_model: models/mistralai_Mistral-7B-Instruct-v0.2
----
-# 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 0.7.1

mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/adapter_config.json DELETED Viewed

@@ -1,31 +0,0 @@
-{
-  "alpha_pattern": {},
-  "auto_mapping": null,
-  "base_model_name_or_path": "models/mistralai_Mistral-7B-Instruct-v0.2",
-  "bias": "none",
-  "fan_in_fan_out": false,
-  "inference_mode": true,
-  "init_lora_weights": true,
-  "layers_pattern": null,
-  "layers_to_transform": null,
-  "loftq_config": {},
-  "lora_alpha": 32,
-  "lora_dropout": 0.05,
-  "megatron_config": null,
-  "megatron_core": "megatron.core",
-  "modules_to_save": null,
-  "peft_type": "LORA",
-  "r": 128,
-  "rank_pattern": {},
-  "revision": null,
-  "target_modules": [
-    "v_proj",
-    "q_proj",
-    "gate_proj",
-    "up_proj",
-    "down_proj",
-    "o_proj",
-    "k_proj"
-  ],
-  "task_type": "CAUSAL_LM"
-}

mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/adapter_model.safetensors DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:47241482acd7bfd8d36cdbb654565b345d940569a2ebeb1153a9e2a14d64f474
-size 1342238560

mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/runs/Apr16_01-04-30_nora-linux/events.out.tfevents.1713254671.nora-linux.1279622.0 DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9c4119628ec5fc228d06c7f12c104c8cb2d69177170d5ebff2836888088a9344
-size 12913

mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/training_log.json DELETED Viewed

@@ -1,16 +0,0 @@
-{
-  "base_model_name": "None",
-  "base_model_class": "MistralForCausalLM",
-  "base_loaded_in_4bit": false,
-  "base_loaded_in_8bit": false,
-  "projections": "gate, down, up, q, v, k, o",
-  "loss": 0.118,
-  "learning_rate": 1.195219123505976e-06,
-  "epoch": 3.0,
-  "current_steps": 8155,
-  "train_runtime": 1400.5631,
-  "train_samples_per_second": 11.659,
-  "train_steps_per_second": 0.182,
-  "total_flos": 1.8663500338220237e+17,
-  "train_loss": 0.2664371884336659
-}

mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/training_parameters.json DELETED Viewed

@@ -1,37 +0,0 @@
-{
-  "lora_name": "mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3",
-  "always_override": true,
-  "q_proj_en": true,
-  "v_proj_en": true,
-  "k_proj_en": true,
-  "o_proj_en": true,
-  "gate_proj_en": true,
-  "down_proj_en": true,
-  "up_proj_en": true,
-  "save_steps": 0.0,
-  "micro_batch_size": 2,
-  "batch_size": 64,
-  "epochs": 3.0,
-  "learning_rate": "3e-4",
-  "lr_scheduler_type": "linear",
-  "lora_rank": 128,
-  "lora_alpha": 32,
-  "lora_dropout": 0.05,
-  "cutoff_len": 256,
-  "dataset": "None",
-  "eval_dataset": "None",
-  "format": "None",
-  "eval_steps": 100.0,
-  "raw_text_file": "student_answer_train_examples_mistral_0416",
-  "overlap_len": 128,
-  "newline_favor_len": 128,
-  "higher_rank_limit": false,
-  "warmup_steps": 100.0,
-  "optimizer": "adamw_bnb_8bit",
-  "hard_cut_string": "\\n\\n\\n",
-  "train_only_after": "",
-  "stop_at_loss": 0,
-  "add_eos_token": false,
-  "min_chars": 0.0,
-  "report_to": "None"
-}

mistralai_Mistral-7B-Instruct-v0_2_student_answer_train_examples_mistral_0416_rank_128_epoch_3/training_prompt.json DELETED Viewed

@@ -1,3 +0,0 @@
-{
-  "template_type": "raw_text"
-}