Model save
Browse files- README.md +7 -7
- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
- test.bleu.json +32 -32
- test.calc_semantic_distance.json +4 -4
- test.tweeteval_corr.json +156 -156
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.
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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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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0000
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.4395 | 1.25 | 5 | 3.3327 |
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| 3.319 | 2.5 | 10 | 3.2168 |
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| 3.2198 | 3.75 | 15 | 3.1265 |
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| 3.1172 | 5.0 | 20 | 3.0626 |
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| 3.0435 | 6.25 | 25 | 3.0221 |
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| 3.0651 | 7.5 | 30 | 3.0023 |
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### Framework versions
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adapter_config.json
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"layers_pattern": null,
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"loftq_config": {},
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"megatron_core": "megatron.core",
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adapter_model.safetensors
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test.bleu.json
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test.calc_semantic_distance.json
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{
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test.tweeteval_corr.json
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{
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