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Mistral-7B-Instruct-v0.2-absa-MT-restaurants

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  1. README.md +31 -31
  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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0065
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  ## Model description
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@@ -50,36 +50,36 @@ 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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- | 0.8383 | 0.13 | 40 | 0.1373 |
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- | 0.0682 | 0.25 | 80 | 0.0191 |
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- | 0.0178 | 0.38 | 120 | 0.0165 |
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- | 0.0168 | 0.5 | 160 | 0.0151 |
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- | 0.0142 | 0.63 | 200 | 0.0150 |
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- | 0.0141 | 0.75 | 240 | 0.0136 |
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- | 0.0116 | 0.88 | 280 | 0.0119 |
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- | 0.0115 | 1.0 | 320 | 0.0123 |
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- | 0.0094 | 1.13 | 360 | 0.0112 |
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- | 0.009 | 1.25 | 400 | 0.0112 |
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- | 0.0089 | 1.38 | 440 | 0.0105 |
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- | 0.0081 | 1.5 | 480 | 0.0103 |
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- | 0.0092 | 1.63 | 520 | 0.0102 |
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- | 0.0078 | 1.75 | 560 | 0.0091 |
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- | 0.0087 | 1.88 | 600 | 0.0088 |
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- | 0.007 | 2.0 | 640 | 0.0087 |
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- | 0.0049 | 2.13 | 680 | 0.0087 |
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- | 0.005 | 2.26 | 720 | 0.0082 |
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- | 0.004 | 2.38 | 760 | 0.0086 |
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- | 0.0051 | 2.51 | 800 | 0.0075 |
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- | 0.0043 | 2.63 | 840 | 0.0075 |
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- | 0.0047 | 2.76 | 880 | 0.0075 |
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- | 0.0037 | 2.88 | 920 | 0.0072 |
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- | 0.0042 | 3.01 | 960 | 0.0067 |
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- | 0.0026 | 3.13 | 1000 | 0.0066 |
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- | 0.0015 | 3.26 | 1040 | 0.0071 |
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- | 0.0022 | 3.38 | 1080 | 0.0068 |
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- | 0.0018 | 3.51 | 1120 | 0.0065 |
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- | 0.0016 | 3.63 | 1160 | 0.0067 |
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- | 0.0019 | 3.76 | 1200 | 0.0065 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0072
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.8237 | 0.13 | 40 | 0.1383 |
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+ | 0.0623 | 0.25 | 80 | 0.0213 |
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+ | 0.0199 | 0.38 | 120 | 0.0176 |
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+ | 0.0178 | 0.5 | 160 | 0.0153 |
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+ | 0.0153 | 0.63 | 200 | 0.0141 |
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+ | 0.0136 | 0.75 | 240 | 0.0127 |
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+ | 0.0111 | 0.88 | 280 | 0.0121 |
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+ | 0.0117 | 1.0 | 320 | 0.0123 |
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+ | 0.0091 | 1.13 | 360 | 0.0117 |
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+ | 0.0102 | 1.25 | 400 | 0.0107 |
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+ | 0.0081 | 1.38 | 440 | 0.0106 |
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+ | 0.0097 | 1.5 | 480 | 0.0100 |
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+ | 0.0091 | 1.63 | 520 | 0.0092 |
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+ | 0.0079 | 1.75 | 560 | 0.0096 |
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+ | 0.0074 | 1.88 | 600 | 0.0089 |
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+ | 0.0075 | 2.0 | 640 | 0.0092 |
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+ | 0.0043 | 2.13 | 680 | 0.0088 |
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+ | 0.0053 | 2.26 | 720 | 0.0092 |
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+ | 0.0047 | 2.38 | 760 | 0.0084 |
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+ | 0.0041 | 2.51 | 800 | 0.0082 |
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+ | 0.005 | 2.63 | 840 | 0.0080 |
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+ | 0.005 | 2.76 | 880 | 0.0072 |
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+ | 0.0045 | 2.88 | 920 | 0.0069 |
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+ | 0.0034 | 3.01 | 960 | 0.0071 |
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+ | 0.0021 | 3.13 | 1000 | 0.0075 |
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+ | 0.0021 | 3.26 | 1040 | 0.0075 |
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+ | 0.0018 | 3.38 | 1080 | 0.0077 |
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+ | 0.0019 | 3.51 | 1120 | 0.0073 |
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+ | 0.0018 | 3.63 | 1160 | 0.0075 |
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+ | 0.0021 | 3.76 | 1200 | 0.0072 |
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  ### Framework versions
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training_args.bin CHANGED
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