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Shakhovak
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llama-7b-absa-restaurants

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  1. README.md +11 -11
  2. adapter_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0373
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  ## Model description
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.1276 | 0.36 | 40 | 0.0407 |
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- | 0.0366 | 0.72 | 80 | 0.0344 |
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- | 0.0279 | 1.08 | 120 | 0.0297 |
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- | 0.0203 | 1.44 | 160 | 0.0276 |
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- | 0.0217 | 1.8 | 200 | 0.0274 |
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- | 0.0165 | 2.16 | 240 | 0.0319 |
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- | 0.0106 | 2.52 | 280 | 0.0304 |
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- | 0.0113 | 2.88 | 320 | 0.0300 |
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- | 0.0073 | 3.24 | 360 | 0.0357 |
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- | 0.0047 | 3.6 | 400 | 0.0373 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0394
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.1324 | 0.36 | 40 | 0.0426 |
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+ | 0.0337 | 0.72 | 80 | 0.0335 |
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+ | 0.0279 | 1.08 | 120 | 0.0331 |
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+ | 0.0206 | 1.44 | 160 | 0.0292 |
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+ | 0.0196 | 1.8 | 200 | 0.0288 |
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+ | 0.0161 | 2.16 | 240 | 0.0337 |
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+ | 0.0111 | 2.52 | 280 | 0.0338 |
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+ | 0.0116 | 2.88 | 320 | 0.0321 |
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+ | 0.0063 | 3.24 | 360 | 0.0381 |
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+ | 0.0047 | 3.6 | 400 | 0.0394 |
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  ### Framework versions
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