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Mistral-7B-Instruct-v0.2-absa-laptops

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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 [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0203
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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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- | 1.1762 | 0.36 | 40 | 0.1817 |
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- | 0.076 | 0.72 | 80 | 0.0282 |
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- | 0.0265 | 1.08 | 120 | 0.0245 |
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- | 0.019 | 1.44 | 160 | 0.0211 |
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- | 0.0196 | 1.8 | 200 | 0.0208 |
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- | 0.017 | 2.16 | 240 | 0.0207 |
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- | 0.0126 | 2.52 | 280 | 0.0208 |
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- | 0.0126 | 2.88 | 320 | 0.0209 |
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- | 0.0103 | 3.24 | 360 | 0.0204 |
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- | 0.0088 | 3.6 | 400 | 0.0203 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0235
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.1844 | 0.36 | 40 | 0.1770 |
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+ | 0.0756 | 0.72 | 80 | 0.0313 |
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+ | 0.0262 | 1.08 | 120 | 0.0263 |
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+ | 0.0203 | 1.44 | 160 | 0.0250 |
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+ | 0.0194 | 1.8 | 200 | 0.0235 |
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+ | 0.0159 | 2.16 | 240 | 0.0245 |
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+ | 0.0132 | 2.52 | 280 | 0.0229 |
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+ | 0.0131 | 2.88 | 320 | 0.0228 |
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+ | 0.0105 | 3.24 | 360 | 0.0228 |
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+ | 0.0097 | 3.6 | 400 | 0.0235 |
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  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
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  size 218196746
 
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  size 218196746
training_args.bin CHANGED
@@ -1,3 +1,3 @@
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