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yemen2016
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memo3_indirect_speech

Token Classification
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bert
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  1. README.md +85 -0
  2. config.json +42 -0
  3. model.safetensors +3 -0
  4. runs/Feb05_11-35-15_4c37c5f6a871/events.out.tfevents.1738755316.4c37c5f6a871.373.4 +3 -0
  5. runs/Feb05_11-35-15_4c37c5f6a871/events.out.tfevents.1738755384.4c37c5f6a871.373.5 +3 -0
  6. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: MiMe-MeMo/MeMo-BERT-03
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+ tags:
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+ - generated_from_trainer
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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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+ model-index:
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+ - name: memo3_indirect_speech
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # memo3_indirect_speech
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+
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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: 0.6840
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+ - Precision: 0.7036
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+ - Recall: 0.6840
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+ - F1: 0.6798
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+ - Loss: 0.7225
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 8
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 20
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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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 | 0.3820 | 0.1459 | 0.3820 | 0.2112 | 1.3936 |
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+ | No log | 2.0 | 18 | 0.3820 | 0.1459 | 0.3820 | 0.2112 | 1.5289 |
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+ | No log | 3.0 | 27 | 0.5385 | 0.2900 | 0.5385 | 0.3770 | 1.0207 |
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+ | No log | 4.0 | 36 | 0.3820 | 0.1459 | 0.3820 | 0.2112 | 1.3341 |
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+ | No log | 5.0 | 45 | 0.5385 | 0.2900 | 0.5385 | 0.3770 | 1.0219 |
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+ | No log | 6.0 | 54 | 0.3829 | 0.1825 | 0.3829 | 0.2130 | 1.0394 |
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+ | No log | 7.0 | 63 | 0.6020 | 0.5949 | 0.6020 | 0.5650 | 0.8312 |
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+ | No log | 8.0 | 72 | 0.6250 | 0.6270 | 0.6250 | 0.5846 | 0.8301 |
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+ | No log | 9.0 | 81 | 0.6821 | 0.7037 | 0.6821 | 0.6491 | 0.7462 |
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+ | No log | 10.0 | 90 | 0.5620 | 0.6878 | 0.5620 | 0.5268 | 0.8255 |
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+ | No log | 11.0 | 99 | 0.5968 | 0.6945 | 0.5968 | 0.5751 | 0.7890 |
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+ | No log | 12.0 | 108 | 0.6901 | 0.6877 | 0.6901 | 0.6868 | 0.7190 |
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+ | No log | 13.0 | 117 | 0.6020 | 0.7003 | 0.6020 | 0.5805 | 0.8426 |
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+ | No log | 14.0 | 126 | 0.6932 | 0.6919 | 0.6932 | 0.6899 | 0.7213 |
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+ | No log | 15.0 | 135 | 0.7158 | 0.7300 | 0.7158 | 0.6928 | 0.7416 |
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+ | No log | 16.0 | 144 | 0.6503 | 0.7054 | 0.6503 | 0.6417 | 0.7546 |
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+ | No log | 17.0 | 153 | 0.7031 | 0.7104 | 0.7031 | 0.6993 | 0.6824 |
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+ | No log | 17.8235 | 160 | 0.6840 | 0.7036 | 0.6840 | 0.6798 | 0.7225 |
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+
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+
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+ ### Framework versions
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+
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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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+ {
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+ "_name_or_path": "MiMe-MeMo/MeMo-BERT-03",
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+ "BertForTokenClassification"
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+ "bos_token_id": 0,
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+ "eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "LABEL_1": 1,
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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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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+ }
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