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yemen2016
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memo3_indirect_speech

Token Classification
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Safetensors
bert
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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_13-11-54_32d4dd9baa07/events.out.tfevents.1738933920.32d4dd9baa07.2176.10 +3 -0
  5. runs/Feb07_13-11-54_32d4dd9baa07/events.out.tfevents.1738934452.32d4dd9baa07.2176.11 +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 [MiMe-MeMo/MeMo-BERT-03](https://huggingface.co/MiMe-MeMo/MeMo-BERT-03) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Accuracy: 0.6792
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- - Precision: 0.6765
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- - Recall: 0.6792
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- - F1: 0.6746
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- - Loss: 0.7595
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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 | 0.5338 | 0.4780 | 0.5338 | 0.3897 | 0.9820 |
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- | No log | 2.0 | 26 | 0.3960 | 0.1568 | 0.3960 | 0.2246 | 1.0372 |
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- | No log | 3.0 | 39 | 0.5620 | 0.5455 | 0.5620 | 0.4488 | 0.8622 |
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- | No log | 4.0 | 52 | 0.4484 | 0.7058 | 0.4484 | 0.3114 | 0.9687 |
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- | No log | 5.0 | 65 | 0.5407 | 0.6971 | 0.5407 | 0.4809 | 0.9041 |
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- | No log | 6.0 | 78 | 0.5509 | 0.7154 | 0.5509 | 0.4959 | 0.9406 |
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- | No log | 7.0 | 91 | 0.6102 | 0.7030 | 0.6102 | 0.5844 | 0.8172 |
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- | No log | 8.0 | 104 | 0.6456 | 0.6834 | 0.6456 | 0.5938 | 0.8220 |
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- | No log | 9.0 | 117 | 0.6879 | 0.6838 | 0.6879 | 0.6820 | 0.6951 |
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- | No log | 10.0 | 130 | 0.5891 | 0.7194 | 0.5891 | 0.5533 | 1.1123 |
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- | No log | 11.0 | 143 | 0.6290 | 0.7002 | 0.6290 | 0.6121 | 0.8014 |
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- | No log | 12.0 | 156 | 0.6856 | 0.6800 | 0.6856 | 0.6798 | 0.7288 |
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- | No log | 13.0 | 169 | 0.6861 | 0.6773 | 0.6861 | 0.6812 | 0.7181 |
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- | No log | 14.0 | 182 | 0.6808 | 0.6740 | 0.6808 | 0.6757 | 0.7335 |
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- | No log | 15.0 | 195 | 0.6749 | 0.6819 | 0.6749 | 0.6693 | 0.7542 |
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- | No log | 16.0 | 208 | 0.6795 | 0.6774 | 0.6795 | 0.6746 | 0.7692 |
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- | No log | 17.0 | 221 | 0.6590 | 0.6808 | 0.6590 | 0.6524 | 0.8030 |
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- | No log | 18.0 | 234 | 0.6863 | 0.6770 | 0.6863 | 0.6810 | 0.7495 |
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- | No log | 18.48 | 240 | 0.6792 | 0.6765 | 0.6792 | 0.6746 | 0.7595 |
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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 [MiMe-MeMo/MeMo-BERT-03](https://huggingface.co/MiMe-MeMo/MeMo-BERT-03) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Accuracy: 0.6579
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+ - Precision: 0.6594
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+ - Recall: 0.6579
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+ - F1: 0.6534
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+ - Loss: 0.8215
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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 | 0.5463 | 0.5179 | 0.5463 | 0.4339 | 1.0286 |
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+ | No log | 2.0 | 26 | 0.4100 | 0.1876 | 0.4100 | 0.2461 | 1.0251 |
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+ | No log | 3.0 | 39 | 0.5086 | 0.6698 | 0.5086 | 0.4356 | 0.8710 |
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+ | No log | 4.0 | 52 | 0.4802 | 0.6966 | 0.4802 | 0.3729 | 1.3227 |
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+ | No log | 5.0 | 65 | 0.4691 | 0.7161 | 0.4691 | 0.3548 | 1.0735 |
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+ | No log | 6.0 | 78 | 0.5927 | 0.6874 | 0.5927 | 0.5628 | 0.8102 |
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+ | No log | 7.0 | 91 | 0.5402 | 0.7032 | 0.5402 | 0.4823 | 1.3396 |
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+ | No log | 8.0 | 104 | 0.6661 | 0.6753 | 0.6661 | 0.6340 | 0.7542 |
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+ | No log | 9.0 | 117 | 0.6234 | 0.6935 | 0.6234 | 0.6047 | 0.8814 |
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+ | No log | 10.0 | 130 | 0.6633 | 0.6732 | 0.6633 | 0.6574 | 0.7494 |
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+ | No log | 11.0 | 143 | 0.6567 | 0.6597 | 0.6567 | 0.6520 | 0.7748 |
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+ | No log | 12.0 | 156 | 0.6606 | 0.6596 | 0.6606 | 0.6552 | 0.7600 |
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+ | No log | 13.0 | 169 | 0.6624 | 0.6744 | 0.6624 | 0.6567 | 0.7976 |
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+ | No log | 14.0 | 182 | 0.6667 | 0.6668 | 0.6667 | 0.6619 | 0.7685 |
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+ | No log | 15.0 | 195 | 0.6452 | 0.6778 | 0.6452 | 0.6361 | 0.8573 |
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+ | No log | 16.0 | 208 | 0.6536 | 0.6721 | 0.6536 | 0.6466 | 0.8498 |
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+ | No log | 17.0 | 221 | 0.6545 | 0.6625 | 0.6545 | 0.6501 | 0.8457 |
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+ | No log | 18.0 | 234 | 0.6570 | 0.6602 | 0.6570 | 0.6523 | 0.8187 |
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+ | No log | 18.48 | 240 | 0.6579 | 0.6594 | 0.6579 | 0.6534 | 0.8215 |
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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
@@ -35,7 +35,7 @@
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  "pad_token_id": 1,
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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": 1,
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  "use_cache": true,
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  "vocab_size": 50005
 
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  "pad_token_id": 1,
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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": 1,
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  "use_cache": true,
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  "vocab_size": 50005
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