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--- |
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library_name: peft |
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license: llama3 |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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tags: |
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- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct |
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- llama-factory |
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- transformers |
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pipeline_tag: text-generation |
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model-index: |
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- name: train_conala_101112_1760638010 |
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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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# train_conala_101112_1760638010 |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the conala dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6943 |
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- Num Input Tokens Seen: 3060208 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 101112 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------------:| |
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| 2.3421 | 1.0 | 536 | 2.2859 | 153344 | |
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| 1.758 | 2.0 | 1072 | 1.1338 | 306640 | |
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| 1.1588 | 3.0 | 1608 | 0.9419 | 459376 | |
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| 0.6676 | 4.0 | 2144 | 0.8533 | 612008 | |
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| 0.7588 | 5.0 | 2680 | 0.8118 | 764936 | |
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| 0.8085 | 6.0 | 3216 | 0.7846 | 917624 | |
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| 0.7514 | 7.0 | 3752 | 0.7636 | 1070488 | |
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| 0.5654 | 8.0 | 4288 | 0.7469 | 1223384 | |
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| 0.6064 | 9.0 | 4824 | 0.7342 | 1376240 | |
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| 0.4365 | 10.0 | 5360 | 0.7238 | 1529640 | |
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| 0.8136 | 11.0 | 5896 | 0.7153 | 1682336 | |
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| 0.5549 | 12.0 | 6432 | 0.7098 | 1835928 | |
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| 0.7974 | 13.0 | 6968 | 0.7043 | 1989136 | |
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| 0.5278 | 14.0 | 7504 | 0.7004 | 2142632 | |
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| 0.7199 | 15.0 | 8040 | 0.6974 | 2295280 | |
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| 0.5653 | 16.0 | 8576 | 0.6962 | 2447904 | |
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| 0.6505 | 17.0 | 9112 | 0.6950 | 2600776 | |
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| 0.6361 | 18.0 | 9648 | 0.6947 | 2753536 | |
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| 0.8247 | 19.0 | 10184 | 0.6947 | 2906984 | |
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| 0.5962 | 20.0 | 10720 | 0.6943 | 3060208 | |
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### Framework versions |
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- PEFT 0.17.1 |
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- Transformers 4.51.3 |
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- Pytorch 2.9.0+cu128 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
