Commit
•
61c9fe6
1
Parent(s):
f4c23e2
Model save
Browse files- README.md +75 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +566 -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-3_120-samples_config-1_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-3_120-samples_config-1_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: 0.4639
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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: 8
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- total_train_batch_size: 8
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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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| 2.0683 | 1.0 | 11 | 1.5828 |
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| 0.3118 | 2.0 | 22 | 0.4176 |
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| 0.1835 | 3.0 | 33 | 0.3052 |
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| 0.2052 | 4.0 | 44 | 0.2839 |
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| 0.136 | 5.0 | 55 | 0.2934 |
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| 0.0724 | 6.0 | 66 | 0.3545 |
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| 0.044 | 7.0 | 77 | 0.3941 |
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| 0.024 | 8.0 | 88 | 0.3894 |
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| 0.0209 | 9.0 | 99 | 0.4124 |
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| 0.0046 | 10.0 | 110 | 0.4325 |
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| 0.0046 | 11.0 | 121 | 0.4639 |
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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 sha256:2226ea9d6aacc307bdaa444171bcbe2b8899740111be3f6f9e9d1fcc65b22298
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size 167832240
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all_results.json
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{
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"epoch": 11.0,
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"total_flos": 9.479167540199424e+16,
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"train_loss": 0.42315512989870896,
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"train_runtime": 3524.0466,
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"train_samples": 88,
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"train_samples_per_second": 1.249,
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"train_steps_per_second": 0.156
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}
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train_results.json
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{
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"epoch": 11.0,
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"total_flos": 9.479167540199424e+16,
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"train_loss": 0.42315512989870896,
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"train_runtime": 3524.0466,
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"train_samples": 88,
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"train_samples_per_second": 1.249,
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"train_steps_per_second": 0.156
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}
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trainer_state.json
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