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--- |
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base_model: ybelkada/falcon-7b-sharded-bf16 |
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library_name: peft |
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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: falcon-7b-sharded-bf16-finetuned-html-code-generation |
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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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# falcon-7b-sharded-bf16-finetuned-html-code-generation |
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This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7278 |
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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: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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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- training_steps: 320 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.1794 | 20 | 1.8081 | |
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| No log | 0.3587 | 40 | 1.4801 | |
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| No log | 0.5381 | 60 | 1.3633 | |
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| No log | 0.7175 | 80 | 1.2735 | |
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| No log | 0.8969 | 100 | 1.2074 | |
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| No log | 1.0762 | 120 | 1.1345 | |
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| No log | 1.2556 | 140 | 1.1053 | |
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| No log | 1.4350 | 160 | 1.0067 | |
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| No log | 1.6143 | 180 | 0.9667 | |
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| No log | 1.7937 | 200 | 0.9007 | |
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| No log | 1.9731 | 220 | 0.8531 | |
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| No log | 2.1525 | 240 | 0.7896 | |
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| No log | 2.3318 | 260 | 0.7555 | |
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| No log | 2.5112 | 280 | 0.7351 | |
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| No log | 2.6906 | 300 | 0.7288 | |
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| No log | 2.8700 | 320 | 0.7278 | |
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### Framework versions |
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- PEFT 0.12.1.dev0 |
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- Transformers 4.43.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
