Commit
•
e924efb
1
Parent(s):
783ada4
Model save
Browse files- README.md +78 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +583 -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_180-samples_config-2_full
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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_180-samples_config-2_full
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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: 1.0103
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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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| 1.1409 | 0.9412 | 8 | 1.1128 |
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| 1.0026 | 2.0 | 17 | 0.9789 |
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| 0.9165 | 2.9412 | 25 | 0.8753 |
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| 0.7642 | 4.0 | 34 | 0.8236 |
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| 0.7468 | 4.9412 | 42 | 0.8065 |
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| 0.7471 | 6.0 | 51 | 0.7946 |
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| 0.7355 | 6.9412 | 59 | 0.7895 |
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| 0.6638 | 8.0 | 68 | 0.7944 |
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| 0.5766 | 8.9412 | 76 | 0.8071 |
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| 0.542 | 10.0 | 85 | 0.8387 |
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| 0.4866 | 10.9412 | 93 | 0.8615 |
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| 0.4049 | 12.0 | 102 | 0.8863 |
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| 0.3762 | 12.9412 | 110 | 0.9319 |
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| 0.3261 | 14.0 | 119 | 1.0103 |
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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:f465cf0c19cb5ec3117db8696c2cbad2861d9d05f59c13e18cb514d31d1430f2
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size 167832240
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all_results.json
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{
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"epoch": 14.0,
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"total_flos": 2.2561346208294502e+17,
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"train_loss": 0.6842404608966923,
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"train_runtime": 8185.4036,
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"train_samples": 136,
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"train_samples_per_second": 0.831,
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"train_steps_per_second": 0.049
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}
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train_results.json
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{
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"epoch": 14.0,
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"total_flos": 2.2561346208294502e+17,
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"train_loss": 0.6842404608966923,
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"train_runtime": 8185.4036,
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"train_samples": 136,
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"train_samples_per_second": 0.831,
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"train_steps_per_second": 0.049
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}
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trainer_state.json
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