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Dialogue_dfm

Token Classification
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bert
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End of training

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  1. README.md +27 -27
  2. config.json +10 -10
  3. model.safetensors +1 -1
  4. runs/Oct23_12-07-26_08287b92a2e8/events.out.tfevents.1729685247.08287b92a2e8.40887.7 +3 -0
  5. runs/Oct23_12-18-21_08287b92a2e8/events.out.tfevents.1729685902.08287b92a2e8.40887.11 +3 -0
  6. runs/Oct23_12-18-21_08287b92a2e8/events.out.tfevents.1729685999.08287b92a2e8.40887.12 +3 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -1,13 +1,13 @@
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  ---
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- base_model: KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align
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  library_name: transformers
 
 
 
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  metrics:
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  - accuracy
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  - precision
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  - recall
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  - f1
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- tags:
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- - generated_from_trainer
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  model-index:
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  - name: dfm
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  results: []
@@ -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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Accuracy: 0.9421
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- - Precision: 0.9470
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- - Recall: 0.9421
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- - F1: 0.9422
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- - Loss: 0.5839
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  ## Model description
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@@ -58,25 +58,25 @@ 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 | 0.9412 | 8 | 0.8711 | 0.8341 | 0.8711 | 0.8507 | 0.4719 |
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- | No log | 2.0 | 17 | 0.9237 | 0.9242 | 0.9237 | 0.9217 | 0.3301 |
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- | No log | 2.9412 | 25 | 0.9225 | 0.9301 | 0.9225 | 0.9232 | 0.3470 |
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- | No log | 4.0 | 34 | 0.9317 | 0.9315 | 0.9317 | 0.9299 | 0.2004 |
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- | No log | 4.9412 | 42 | 0.9379 | 0.9443 | 0.9379 | 0.9383 | 0.4529 |
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- | No log | 6.0 | 51 | 0.9394 | 0.9454 | 0.9394 | 0.9399 | 0.4719 |
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- | No log | 6.9412 | 59 | 0.9425 | 0.9458 | 0.9425 | 0.9419 | 0.4498 |
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- | No log | 8.0 | 68 | 0.9421 | 0.9471 | 0.9421 | 0.9423 | 0.4921 |
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- | No log | 8.9412 | 76 | 0.9440 | 0.9486 | 0.9440 | 0.9440 | 0.5242 |
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- | No log | 10.0 | 85 | 0.9444 | 0.9488 | 0.9444 | 0.9443 | 0.5476 |
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- | No log | 10.9412 | 93 | 0.9421 | 0.9471 | 0.9421 | 0.9422 | 0.5733 |
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- | No log | 12.0 | 102 | 0.9432 | 0.9479 | 0.9432 | 0.9433 | 0.5725 |
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- | No log | 12.9412 | 110 | 0.9432 | 0.9478 | 0.9432 | 0.9432 | 0.5677 |
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- | No log | 14.0 | 119 | 0.9432 | 0.9478 | 0.9432 | 0.9432 | 0.5714 |
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- | No log | 14.9412 | 127 | 0.9425 | 0.9473 | 0.9425 | 0.9425 | 0.5802 |
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- | No log | 16.0 | 136 | 0.9417 | 0.9468 | 0.9417 | 0.9418 | 0.5838 |
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- | No log | 16.9412 | 144 | 0.9421 | 0.9470 | 0.9421 | 0.9422 | 0.5857 |
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- | No log | 18.0 | 153 | 0.9421 | 0.9470 | 0.9421 | 0.9422 | 0.5840 |
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- | No log | 18.8235 | 160 | 0.9421 | 0.9470 | 0.9421 | 0.9422 | 0.5839 |
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  ### Framework versions
 
1
  ---
 
2
  library_name: transformers
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+ base_model: KennethEnevoldsen/dfm-sentence-encoder-large-exp2-no-lang-align
4
+ tags:
5
+ - generated_from_trainer
6
  metrics:
7
  - accuracy
8
  - precision
9
  - recall
10
  - f1
 
 
11
  model-index:
12
  - name: dfm
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  results: []
 
20
 
21
  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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Accuracy: 0.9417
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+ - Precision: 0.9468
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+ - Recall: 0.9417
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+ - F1: 0.9418
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+ - Loss: 0.4894
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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 | 0.9412 | 8 | 0.7223 | 0.7770 | 0.7223 | 0.7069 | 0.8079 |
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+ | No log | 2.0 | 17 | 0.7821 | 0.8280 | 0.7821 | 0.7670 | 0.7157 |
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+ | No log | 2.9412 | 25 | 0.9217 | 0.9243 | 0.9217 | 0.9174 | 0.3617 |
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+ | No log | 4.0 | 34 | 0.9283 | 0.9331 | 0.9283 | 0.9272 | 0.3444 |
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+ | No log | 4.9412 | 42 | 0.9156 | 0.9274 | 0.9156 | 0.9168 | 0.4618 |
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+ | No log | 6.0 | 51 | 0.9271 | 0.9316 | 0.9271 | 0.9277 | 0.3164 |
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+ | No log | 6.9412 | 59 | 0.9356 | 0.9387 | 0.9356 | 0.9349 | 0.3228 |
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+ | No log | 8.0 | 68 | 0.9329 | 0.9398 | 0.9329 | 0.9334 | 0.4814 |
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+ | No log | 8.9412 | 76 | 0.9402 | 0.9450 | 0.9402 | 0.9400 | 0.4819 |
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+ | No log | 10.0 | 85 | 0.9409 | 0.9459 | 0.9409 | 0.9409 | 0.4952 |
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+ | No log | 10.9412 | 93 | 0.9367 | 0.9428 | 0.9367 | 0.9370 | 0.5182 |
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+ | No log | 12.0 | 102 | 0.9409 | 0.9462 | 0.9409 | 0.9411 | 0.4947 |
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+ | No log | 12.9412 | 110 | 0.9405 | 0.9457 | 0.9405 | 0.9406 | 0.4927 |
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+ | No log | 14.0 | 119 | 0.9409 | 0.9462 | 0.9409 | 0.9411 | 0.4912 |
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+ | No log | 14.9412 | 127 | 0.9413 | 0.9465 | 0.9413 | 0.9414 | 0.4917 |
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+ | No log | 16.0 | 136 | 0.9413 | 0.9464 | 0.9413 | 0.9415 | 0.4893 |
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+ | No log | 16.9412 | 144 | 0.9413 | 0.9464 | 0.9413 | 0.9415 | 0.4890 |
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+ | No log | 18.0 | 153 | 0.9417 | 0.9468 | 0.9417 | 0.9418 | 0.4893 |
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+ | No log | 18.8235 | 160 | 0.9417 | 0.9468 | 0.9417 | 0.9418 | 0.4894 |
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  ### Framework versions
config.json CHANGED
@@ -10,20 +10,20 @@
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 1024,
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  "id2label": {
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- "0": "O",
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- "1": "ST",
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- "2": "SM",
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- "3": "SP",
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- "4": "_"
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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  "label2id": {
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- "_": 4
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
 
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 1024,
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  "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3",
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+ "4": "LABEL_4"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 4096,
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  "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_2": 2,
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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