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dfm_indirect_speech

Token Classification
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End of training

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  1. README.md +26 -25
  2. model.safetensors +1 -1
  3. runs/Feb06_13-08-32_393e7c5d2d13/events.out.tfevents.1738847314.393e7c5d2d13.353.9 +3 -0
  4. runs/Feb06_13-08-32_393e7c5d2d13/events.out.tfevents.1738847532.393e7c5d2d13.353.10 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align](https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Accuracy: 0.9186
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- - Precision: 0.9173
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- - Recall: 0.9186
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- - F1: 0.9148
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- - Loss: 0.7077
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  ## Model description
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@@ -56,26 +56,27 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Accuracy | Precision | Recall | F1 | Validation Loss |
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- |:-------------:|:-------:|:----:|:--------:|:---------:|:------:|:------:|:---------------:|
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- | No log | 1.0 | 9 | 0.5262 | 0.7356 | 0.5262 | 0.4663 | 0.9806 |
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- | No log | 2.0 | 18 | 0.8976 | 0.8921 | 0.8976 | 0.8896 | 0.3764 |
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- | No log | 3.0 | 27 | 0.9241 | 0.9190 | 0.9241 | 0.9210 | 0.3074 |
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- | No log | 4.0 | 36 | 0.9060 | 0.9066 | 0.9060 | 0.9028 | 0.4696 |
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- | No log | 5.0 | 45 | 0.9088 | 0.9093 | 0.9088 | 0.9052 | 0.5214 |
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- | No log | 6.0 | 54 | 0.9132 | 0.9099 | 0.9132 | 0.9093 | 0.5031 |
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- | No log | 7.0 | 63 | 0.9060 | 0.9090 | 0.9060 | 0.9026 | 0.7231 |
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- | No log | 8.0 | 72 | 0.9103 | 0.9167 | 0.9103 | 0.9075 | 0.6638 |
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- | No log | 9.0 | 81 | 0.9125 | 0.9137 | 0.9125 | 0.9088 | 0.7139 |
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- | No log | 10.0 | 90 | 0.9194 | 0.9169 | 0.9194 | 0.9156 | 0.5924 |
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- | No log | 11.0 | 99 | 0.9183 | 0.9158 | 0.9183 | 0.9144 | 0.6261 |
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- | No log | 12.0 | 108 | 0.9157 | 0.9157 | 0.9157 | 0.9120 | 0.6921 |
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- | No log | 13.0 | 117 | 0.9185 | 0.9176 | 0.9185 | 0.9148 | 0.6814 |
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- | No log | 14.0 | 126 | 0.9174 | 0.9148 | 0.9174 | 0.9135 | 0.6498 |
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- | No log | 15.0 | 135 | 0.9181 | 0.9231 | 0.9181 | 0.9145 | 0.6699 |
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- | No log | 16.0 | 144 | 0.9191 | 0.9240 | 0.9191 | 0.9155 | 0.6835 |
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- | No log | 17.0 | 153 | 0.9184 | 0.9170 | 0.9184 | 0.9147 | 0.7015 |
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- | No log | 17.8235 | 160 | 0.9186 | 0.9173 | 0.9186 | 0.9148 | 0.7077 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align](https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Accuracy: 0.9233
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+ - Precision: 0.9320
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+ - Recall: 0.9233
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+ - F1: 0.9242
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+ - Loss: 0.4244
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Accuracy | Precision | Recall | F1 | Validation Loss |
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+ |:-------------:|:-----:|:----:|:--------:|:---------:|:------:|:------:|:---------------:|
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+ | No log | 1.0 | 13 | 0.8908 | 0.8900 | 0.8908 | 0.8810 | 0.3843 |
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+ | No log | 2.0 | 26 | 0.9036 | 0.9104 | 0.9036 | 0.9048 | 0.3565 |
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+ | No log | 3.0 | 39 | 0.8880 | 0.8911 | 0.8880 | 0.8830 | 0.4132 |
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+ | No log | 4.0 | 52 | 0.8832 | 0.8989 | 0.8832 | 0.8797 | 0.6744 |
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+ | No log | 5.0 | 65 | 0.9622 | 0.9633 | 0.9622 | 0.9622 | 0.1572 |
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+ | No log | 6.0 | 78 | 0.9080 | 0.9219 | 0.9080 | 0.9050 | 0.4412 |
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+ | No log | 7.0 | 91 | 0.9279 | 0.9411 | 0.9279 | 0.9318 | 0.3629 |
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+ | No log | 8.0 | 104 | 0.9114 | 0.9226 | 0.9114 | 0.9083 | 0.5200 |
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+ | No log | 9.0 | 117 | 0.9409 | 0.9462 | 0.9409 | 0.9420 | 0.3053 |
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+ | No log | 10.0 | 130 | 0.9119 | 0.9235 | 0.9119 | 0.9128 | 0.4940 |
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+ | No log | 11.0 | 143 | 0.9100 | 0.9211 | 0.9100 | 0.9109 | 0.4786 |
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+ | No log | 12.0 | 156 | 0.9233 | 0.9312 | 0.9233 | 0.9241 | 0.3583 |
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+ | No log | 13.0 | 169 | 0.9391 | 0.9439 | 0.9391 | 0.9399 | 0.3192 |
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+ | No log | 14.0 | 182 | 0.9270 | 0.9351 | 0.9270 | 0.9280 | 0.3744 |
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+ | No log | 15.0 | 195 | 0.9245 | 0.9329 | 0.9245 | 0.9253 | 0.4091 |
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+ | No log | 16.0 | 208 | 0.9240 | 0.9324 | 0.9240 | 0.9248 | 0.4123 |
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+ | No log | 17.0 | 221 | 0.9224 | 0.9312 | 0.9224 | 0.9232 | 0.4258 |
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+ | No log | 18.0 | 234 | 0.9228 | 0.9316 | 0.9228 | 0.9237 | 0.4260 |
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+ | No log | 18.48 | 240 | 0.9233 | 0.9320 | 0.9233 | 0.9242 | 0.4244 |
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  ### Framework versions
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