Model save
Browse files- README.md +77 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- runs/Aug19_07-12-19_9mqd6r3-l/events.out.tfevents.1724044358.9mqd6r3-l.3735634.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +659 -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-3_120-samples_config-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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# Llama-31-8B_task-3_120-samples_config-1
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8794
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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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| 2.1435 | 1.0 | 11 | 2.0795 |
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| 0.7297 | 2.0 | 22 | 0.8106 |
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| 0.3105 | 3.0 | 33 | 0.5279 |
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| 0.4824 | 4.0 | 44 | 0.4706 |
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| 0.3517 | 5.0 | 55 | 0.4750 |
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| 0.3732 | 6.0 | 66 | 0.4323 |
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| 0.2019 | 7.0 | 77 | 0.4858 |
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| 0.1766 | 8.0 | 88 | 0.4912 |
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| 0.1 | 9.0 | 99 | 0.5915 |
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| 0.0326 | 10.0 | 110 | 0.6782 |
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| 0.0057 | 11.0 | 121 | 0.6927 |
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| 0.0107 | 12.0 | 132 | 0.8775 |
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| 0.0022 | 13.0 | 143 | 0.8794 |
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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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size 167832240
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version https://git-lfs.github.com/spec/v1
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oid sha256:066c9605d3c20b7f9a5c4364ab4a594f4131e7ad07d7b9127d577267c6ffdb74
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size 167832240
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all_results.json
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{
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"epoch": 13.0,
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"total_flos": 8.929318065825382e+16,
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"train_loss": 0.46659035206010396,
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"train_runtime": 3291.7176,
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"train_samples": 88,
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"train_samples_per_second": 1.337,
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"train_steps_per_second": 0.167
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}
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runs/Aug19_07-12-19_9mqd6r3-l/events.out.tfevents.1724044358.9mqd6r3-l.3735634.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 25574
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train_results.json
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{
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"epoch": 13.0,
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"total_flos": 8.929318065825382e+16,
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"train_loss": 0.46659035206010396,
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"train_runtime": 3291.7176,
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| 6 |
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"train_samples": 88,
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"train_samples_per_second": 1.337,
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"train_steps_per_second": 0.167
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}
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trainer_state.json
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