Model save
Browse files- README.md +81 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +530 -0
README.md
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| 1 |
+
---
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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library_name: peft
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license: llama3.1
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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: Llama-31-8B_task-2_60-samples_config-1_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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# Llama-31-8B_task-2_60-samples_config-1_full
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2544
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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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| 1.5616 | 0.8696 | 5 | 1.5646 |
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| 1.5234 | 1.9130 | 11 | 1.4617 |
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| 1.4186 | 2.9565 | 17 | 1.3542 |
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| 1.2508 | 4.0 | 23 | 1.2442 |
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| 1.1191 | 4.8696 | 28 | 1.1498 |
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| 1.0371 | 5.9130 | 34 | 1.1010 |
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| 0.9695 | 6.9565 | 40 | 1.0839 |
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| 0.968 | 8.0 | 46 | 1.0704 |
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| 0.9532 | 8.8696 | 51 | 1.0646 |
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| 0.9439 | 9.9130 | 57 | 1.0622 |
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| 0.8579 | 10.9565 | 63 | 1.0686 |
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| 0.8117 | 12.0 | 69 | 1.0771 |
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| 0.8138 | 12.8696 | 74 | 1.0899 |
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| 0.7059 | 13.9130 | 80 | 1.1196 |
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| 0.6519 | 14.9565 | 86 | 1.1535 |
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| 0.65 | 16.0 | 92 | 1.2045 |
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| 0.405 | 16.8696 | 97 | 1.2544 |
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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 sha256:171d2563a8ca6e65a04f9ce1db220ace4e6968008dab60af54f048c68ef74ea0
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size 167832240
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all_results.json
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{
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"epoch": 16.869565217391305,
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"total_flos": 7.557782026846208e+16,
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"train_loss": 0.9939013191105164,
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"train_runtime": 2720.2971,
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"train_samples": 46,
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"train_samples_per_second": 0.845,
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"train_steps_per_second": 0.092
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}
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train_results.json
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{
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"epoch": 16.869565217391305,
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"total_flos": 7.557782026846208e+16,
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"train_loss": 0.9939013191105164,
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"train_runtime": 2720.2971,
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"train_samples": 46,
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"train_samples_per_second": 0.845,
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"train_steps_per_second": 0.092
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}
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trainer_state.json
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