End of training
Browse files- README.md +6 -6
- adapter_config.json +5 -5
- adapter_model.bin +1 -1
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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@@ -42,7 +42,7 @@ early_stopping_patience: null
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eval_max_new_tokens: 128
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eval_table_size: null
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evals_per_epoch: 4
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flash_attention:
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fp16: true
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fsdp: null
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fsdp_config: null
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This model is a fine-tuned version of [aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct](https://huggingface.co/aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct) 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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| 1.
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| 1.
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| 1.
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| 0.
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### Framework versions
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eval_max_new_tokens: 128
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eval_table_size: null
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evals_per_epoch: 4
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+
flash_attention: true
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fp16: true
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fsdp: null
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fsdp_config: null
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This model is a fine-tuned version of [aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct](https://huggingface.co/aisingapore/llama3-8b-cpt-sea-lionv2.1-instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0435
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.4927 | 0.0833 | 1 | 1.4978 |
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| 1.5735 | 0.25 | 3 | 1.4451 |
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| 1.0815 | 0.5 | 6 | 0.8162 |
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| 0.229 | 0.75 | 9 | 0.0435 |
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### Framework versions
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"o_proj",
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"gate_proj",
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"
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"k_proj",
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"
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"gate_proj",
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"o_proj",
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"q_proj",
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"k_proj",
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"down_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.bin
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adapter_model.safetensors
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training_args.bin
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