Model save
Browse files- .ipynb_checkpoints/all_results-checkpoint.json +8 -0
- .ipynb_checkpoints/trainer_state-checkpoint.json +38 -0
- README.md +76 -0
- adapter_config.json +28 -0
- adapter_model.safetensors +3 -0
- all_results.json +9 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- train_results.json +9 -0
- trainer_state.json +144 -0
- training_args.bin +3 -0
.ipynb_checkpoints/all_results-checkpoint.json
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{
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"epoch": 0.8,
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"total_flos": 2.2539726376402944e+16,
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"train_loss": 2.351849317550659,
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"train_runtime": 289.1969,
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"train_samples_per_second": 1.107,
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"train_steps_per_second": 0.003
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}
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.ipynb_checkpoints/trainer_state-checkpoint.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.8,
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"eval_steps": 500,
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"global_step": 1,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.8,
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"eval_loss": 2.3482213020324707,
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"eval_runtime": 27.1303,
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"eval_samples_per_second": 2.949,
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"eval_steps_per_second": 1.474,
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"step": 1
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},
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{
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"epoch": 0.8,
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"step": 1,
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"total_flos": 2.2539726376402944e+16,
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"train_loss": 2.351849317550659,
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"train_runtime": 289.1969,
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"train_samples_per_second": 1.107,
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"train_steps_per_second": 0.003
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}
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],
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"logging_steps": 5,
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"max_steps": 1,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 1,
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"save_steps": 500,
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"total_flos": 2.2539726376402944e+16,
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"train_batch_size": 2,
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"trial_name": null,
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"trial_params": null
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}
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README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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base_model: mistralai/Mistral-7B-v0.1
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model-index:
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- name: Project5_V3_Mistral7b_V2.1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Project5_V3_Mistral7b_V2.1
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3036
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 128
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 0.8 | 1 | 2.3482 |
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| No log | 1.6 | 2 | 2.3439 |
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| No log | 2.4 | 3 | 2.3386 |
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| 2.3422 | 4.0 | 5 | 2.3264 |
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| 2.3422 | 4.8 | 6 | 2.3212 |
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| 2.3422 | 5.6 | 7 | 2.3166 |
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| 2.3422 | 6.4 | 8 | 2.3126 |
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| 2.3191 | 8.0 | 10 | 2.3072 |
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| 2.3191 | 8.8 | 11 | 2.3055 |
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| 2.3191 | 9.6 | 12 | 2.3045 |
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| 2.3191 | 10.4 | 13 | 2.3039 |
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| 2.3082 | 12.0 | 15 | 2.3036 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.37.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"k_proj",
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"o_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed588fc1b694baa6f08f342c3efbce54f7fa1cb3d6f423ffa035ba944baaddd1
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size 109086672
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all_results.json
ADDED
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{
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"epoch": 12.0,
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"total_flos": 3.3809589564604416e+17,
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"train_loss": 2.323172187805176,
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"train_runtime": 4255.0402,
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"train_samples": 60,
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"train_samples_per_second": 1.128,
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"train_steps_per_second": 0.004
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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train_results.json
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{
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"epoch": 12.0,
|
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"total_flos": 3.3809589564604416e+17,
|
4 |
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"train_loss": 2.323172187805176,
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"train_runtime": 4255.0402,
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"train_samples": 60,
|
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"train_samples_per_second": 1.128,
|
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"train_steps_per_second": 0.004
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}
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trainer_state.json
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{
|
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"best_metric": null,
|
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"best_model_checkpoint": null,
|
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"epoch": 12.0,
|
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|
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"is_hyper_param_search": false,
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|
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"is_world_process_zero": true,
|
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"log_history": [
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{
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"epoch": 0.8,
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"eval_runtime": 27.1441,
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"eval_samples_per_second": 2.947,
|
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"eval_steps_per_second": 1.474,
|
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"step": 1
|
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},
|
19 |
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{
|
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"epoch": 1.6,
|
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"eval_loss": 2.343932628631592,
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"eval_runtime": 27.1355,
|
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"eval_samples_per_second": 2.948,
|
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"eval_steps_per_second": 1.474,
|
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"step": 2
|
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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oid sha256:d78e4cef540d4143335d20d0aa2d51cff93b79b672b0da42cd4de55f3118736e
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size 4792
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