Commit
•
038c002
1
Parent(s):
055f18c
Model save
Browse files- README.md +79 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +465 -0
README.md
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---
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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library_name: peft
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license: apache-2.0
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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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model-index:
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- name: Mistral-7B_task-2_120-samples_config-2_full_auto
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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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# Mistral-7B_task-2_120-samples_config-2_full_auto
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9351
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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: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 1.1522 | 0.9091 | 5 | 1.0969 |
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| 1.0455 | 2.0 | 11 | 0.9818 |
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| 0.9291 | 2.9091 | 16 | 0.9178 |
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| 0.8133 | 4.0 | 22 | 0.8174 |
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| 0.754 | 4.9091 | 27 | 0.7907 |
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| 0.7232 | 6.0 | 33 | 0.7768 |
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| 0.7137 | 6.9091 | 38 | 0.7700 |
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| 0.6783 | 8.0 | 44 | 0.7681 |
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| 0.6309 | 8.9091 | 49 | 0.7697 |
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| 0.6237 | 10.0 | 55 | 0.7780 |
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| 0.5633 | 10.9091 | 60 | 0.7931 |
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| 0.4943 | 12.0 | 66 | 0.8165 |
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| 0.4499 | 12.9091 | 71 | 0.8476 |
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| 0.4037 | 14.0 | 77 | 0.9135 |
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| 0.3067 | 14.9091 | 82 | 0.9351 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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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:
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size 167832240
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f9110ba46ead5d36350f48c0aed1157d1f406593bda3abf5561c46a2db7c265
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size 167832240
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all_results.json
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{
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"epoch": 14.909090909090908,
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"total_flos": 1.611878944032686e+17,
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"train_loss": 0.694953751818436,
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"train_runtime": 5838.2254,
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"train_samples": 88,
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"train_samples_per_second": 0.754,
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"train_steps_per_second": 0.043
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}
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train_results.json
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{
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"epoch": 14.909090909090908,
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"total_flos": 1.611878944032686e+17,
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"train_loss": 0.694953751818436,
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"train_runtime": 5838.2254,
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"train_samples": 88,
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"train_samples_per_second": 0.754,
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"train_steps_per_second": 0.043
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}
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trainer_state.json
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| 1 |
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{
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| 2 |
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"best_metric": 0.7681158185005188,
|
| 3 |
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"best_model_checkpoint": "data/Mistral-7B_task-2_120-samples_config-2_full_auto/checkpoint-44",
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| 4 |
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"epoch": 14.909090909090908,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 82,
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| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
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| 11 |
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{
|
| 12 |
+
"epoch": 0.18181818181818182,
|
| 13 |
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"grad_norm": 1.0387680530548096,
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| 14 |
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"learning_rate": 4.000000000000001e-06,
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| 15 |
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"loss": 1.1483,
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| 16 |
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"step": 1
|
| 17 |
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},
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| 18 |
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{
|
| 19 |
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"epoch": 0.36363636363636365,
|
| 20 |
+
"grad_norm": 0.9039549231529236,
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| 21 |
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"learning_rate": 8.000000000000001e-06,
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| 22 |
+
"loss": 1.1119,
|
| 23 |
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"step": 2
|
| 24 |
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},
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