End of training
Browse files- README.md +10 -7
- config.json +1 -2
- model.safetensors +1 -1
- runs/May10_12-25-30_3d76df9130a5/events.out.tfevents.1715343950.3d76df9130a5.24.0 +3 -0
- special_tokens_map.json +5 -35
- tokenizer_config.json +0 -7
- training_args.bin +1 -1
README.md
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---
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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@@ -14,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
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# ASAP_SENT
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.
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| 0.
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### Framework versions
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---
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base_model: techthiyanes/chinese_sentiment
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tags:
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- generated_from_trainer
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metrics:
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# ASAP_SENT
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This model is a fine-tuned version of [techthiyanes/chinese_sentiment](https://huggingface.co/techthiyanes/chinese_sentiment) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5341
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- Accuracy: 0.4826
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.9308 | 1.0 | 1152 | 0.9855 | 0.3233 |
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| 0.8102 | 2.0 | 2304 | 1.0159 | 0.3836 |
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| 0.8724 | 3.0 | 3456 | 1.1756 | 0.4202 |
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| 0.3904 | 4.0 | 4608 | 1.4129 | 0.4773 |
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| 0.5297 | 5.0 | 5760 | 1.5341 | 0.4826 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"BertForSequenceClassification"
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],
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.39.3",
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"type_vocab_size": 2,
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{
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"_name_or_path": "techthiyanes/chinese_sentiment",
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"architectures": [
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"BertForSequenceClassification"
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],
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"num_hidden_layers": 12,
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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": "4.39.3",
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"type_vocab_size": 2,
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model.safetensors
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runs/May10_12-25-30_3d76df9130a5/events.out.tfevents.1715343950.3d76df9130a5.24.0
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special_tokens_map.json
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{
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"cls_token":
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"single_word": false
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"single_word": false
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"sep_token": {
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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{
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"cls_token": "[CLS]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer_config.json
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"max_length": 200,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "[UNK]"
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"do_basic_tokenize": true,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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