End of training
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- adapter_model.bin +2 -2
README.md
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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special_tokens:
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```
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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### Framework versions
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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#UPDATES mk2 - added special tokens
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special_tokens:
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eos_token: "<|im_end|>"
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pad_token: "<|end_of_text|>"
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tokens:
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- "<|im_start|>"
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- "<|im_end|>"
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lora_modules_to_save:
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- embed_tokens
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- lm_head
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```
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8933
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.9791 | 0.0102 | 1 | 1.0349 |
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| 0.7725 | 0.2538 | 25 | 0.8235 |
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| 0.8046 | 0.5076 | 50 | 0.8169 |
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| 0.7678 | 0.7614 | 75 | 0.8099 |
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| 0.7324 | 1.0152 | 100 | 0.7924 |
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| 0.4486 | 1.2487 | 125 | 0.8461 |
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| 0.4419 | 1.5025 | 150 | 0.8462 |
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| 0.4992 | 1.7563 | 175 | 0.8350 |
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| 0.4671 | 2.0102 | 200 | 0.8272 |
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| 0.2618 | 2.2411 | 225 | 0.8615 |
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| 0.275 | 2.4949 | 250 | 0.8697 |
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| 0.2583 | 2.7487 | 275 | 0.8672 |
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| 0.3158 | 3.0025 | 300 | 0.8639 |
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| 0.2073 | 3.2335 | 325 | 0.8940 |
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| 0.1602 | 3.4873 | 350 | 0.8931 |
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| 0.1904 | 3.7411 | 375 | 0.8933 |
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### Framework versions
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adapter_model.bin
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size
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version https://git-lfs.github.com/spec/v1
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size 4370694462
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