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dfm_indirect_speech

Token Classification
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End of training

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  1. README.md +25 -25
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Feb07_10-31-46_32d4dd9baa07/events.out.tfevents.1738924311.32d4dd9baa07.2176.0 +3 -0
  5. runs/Feb07_10-31-46_32d4dd9baa07/events.out.tfevents.1738924692.32d4dd9baa07.2176.1 +3 -0
  6. 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: 0.9233
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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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@@ -58,29 +58,29 @@ The following hyperparameters were used during training:
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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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- - Transformers 4.47.1
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  - Pytorch 2.5.1+cu124
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  - Tokenizers 0.21.0
 
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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: 0.9158
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+ - Precision: 0.9150
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+ - Recall: 0.9158
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+ - F1: 0.9099
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+ - Loss: 0.6465
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  ## Model description
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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 | 0.8602 | 0.8484 | 0.8602 | 0.8492 | 0.4979 |
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+ | No log | 2.0 | 26 | 0.8809 | 0.8636 | 0.8809 | 0.8718 | 0.4677 |
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+ | No log | 3.0 | 39 | 0.9062 | 0.8906 | 0.9062 | 0.8973 | 0.3820 |
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+ | No log | 4.0 | 52 | 0.9290 | 0.9110 | 0.9290 | 0.9194 | 0.4183 |
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+ | No log | 5.0 | 65 | 0.9018 | 0.8924 | 0.9018 | 0.8958 | 0.3585 |
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+ | No log | 6.0 | 78 | 0.8939 | 0.8984 | 0.8939 | 0.8855 | 0.5402 |
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+ | No log | 7.0 | 91 | 0.9171 | 0.9105 | 0.9171 | 0.9131 | 0.4350 |
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+ | No log | 8.0 | 104 | 0.9255 | 0.9198 | 0.9255 | 0.9196 | 0.4858 |
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+ | No log | 9.0 | 117 | 0.9242 | 0.9259 | 0.9242 | 0.9161 | 0.5378 |
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+ | No log | 10.0 | 130 | 0.9177 | 0.9153 | 0.9177 | 0.9114 | 0.5865 |
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+ | No log | 11.0 | 143 | 0.9181 | 0.9169 | 0.9181 | 0.9120 | 0.6122 |
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+ | No log | 12.0 | 156 | 0.9163 | 0.9154 | 0.9163 | 0.9102 | 0.6229 |
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+ | No log | 13.0 | 169 | 0.9165 | 0.9146 | 0.9165 | 0.9106 | 0.6222 |
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+ | No log | 14.0 | 182 | 0.9154 | 0.9127 | 0.9154 | 0.9096 | 0.6227 |
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+ | No log | 15.0 | 195 | 0.9146 | 0.9141 | 0.9146 | 0.9088 | 0.6326 |
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+ | No log | 16.0 | 208 | 0.9154 | 0.9146 | 0.9154 | 0.9095 | 0.6406 |
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+ | No log | 17.0 | 221 | 0.9154 | 0.9146 | 0.9154 | 0.9095 | 0.6462 |
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+ | No log | 18.0 | 234 | 0.9158 | 0.9150 | 0.9158 | 0.9099 | 0.6458 |
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+ | No log | 18.48 | 240 | 0.9158 | 0.9150 | 0.9158 | 0.9099 | 0.6465 |
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  ### Framework versions
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+ - Transformers 4.48.2
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  - Pytorch 2.5.1+cu124
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  - Tokenizers 0.21.0
config.json CHANGED
@@ -33,7 +33,7 @@
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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- "transformers_version": "4.47.1",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 50000
 
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.48.2",
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  "type_vocab_size": 2,
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  "use_cache": true,
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  "vocab_size": 50000
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