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--- |
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license: llama2 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: TheBloke/Llama-2-7B-Chat-GPTQ |
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model-index: |
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- name: Tweet_sentiment |
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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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# Tweet_sentiment |
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This model is a fine-tuned version of [TheBloke/Llama-2-7B-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GPTQ) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6657 |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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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: 0.03 |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 5.422 | 0.0457 | 2 | 5.1721 | |
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| 5.1534 | 0.0914 | 4 | 4.6225 | |
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| 4.5268 | 0.1371 | 6 | 4.0415 | |
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| 3.9455 | 0.1829 | 8 | 3.5294 | |
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| 3.4478 | 0.2286 | 10 | 3.1964 | |
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| 3.1897 | 0.2743 | 12 | 2.9354 | |
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| 2.8951 | 0.32 | 14 | 2.6721 | |
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| 2.5987 | 0.3657 | 16 | 2.4219 | |
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| 2.3629 | 0.4114 | 18 | 2.2606 | |
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| 2.1553 | 0.4571 | 20 | 2.1368 | |
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| 2.109 | 0.5029 | 22 | 2.0289 | |
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| 1.9611 | 0.5486 | 24 | 1.9382 | |
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| 1.8992 | 0.5943 | 26 | 1.8638 | |
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| 1.794 | 0.64 | 28 | 1.8066 | |
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| 1.7374 | 0.6857 | 30 | 1.7621 | |
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| 1.7599 | 0.7314 | 32 | 1.7268 | |
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| 1.769 | 0.7771 | 34 | 1.7006 | |
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| 1.6442 | 0.8229 | 36 | 1.6834 | |
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| 1.6242 | 0.8686 | 38 | 1.6730 | |
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| 1.7367 | 0.9143 | 40 | 1.6677 | |
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| 1.6649 | 0.96 | 42 | 1.6657 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
