End of training
Browse files- README.md +20 -18
- generation_config.json +1 -1
- special_tokens_map.json +3 -21
- tokenizer_config.json +2 -27
README.md
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: mT5-TextSimp-LT-BatchSize8-lr5e-5
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results: []
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rouge1: 0.
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- Rouge2: 0.
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- Rougel: 0.
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- Gen Len: 38.0501
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Gen Len
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.
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- Datasets 2.
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- Tokenizers 0.
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- generated_from_trainer
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metrics:
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- rouge
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- sacrebleu
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model-index:
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- name: mT5-TextSimp-LT-BatchSize8-lr5e-5
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results: []
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0983
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- Rouge1: 0.6245
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- Rouge2: 0.4439
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- Rougel: 0.6142
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- Sacrebleu: 35.7192
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- Gen Len: 38.0501
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Sacrebleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
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| 35.3898 | 0.96 | 200 | 27.6372 | 0.0019 | 0.0 | 0.0018 | 0.0003 | 512.0 |
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| 3.5712 | 1.91 | 400 | 1.9615 | 0.0171 | 0.0 | 0.0167 | 0.0225 | 39.0501 |
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| 0.6489 | 2.87 | 600 | 0.5638 | 0.0052 | 0.0 | 0.0051 | 0.0256 | 39.0501 |
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| 0.6017 | 3.83 | 800 | 3.2823 | 0.2419 | 0.1287 | 0.2318 | 0.6457 | 130.3556 |
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| 0.3784 | 4.78 | 1000 | 0.1340 | 0.5092 | 0.3277 | 0.4978 | 26.7005 | 38.0549 |
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| 0.1521 | 5.74 | 1200 | 0.1092 | 0.5782 | 0.3973 | 0.5672 | 33.2443 | 38.0501 |
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| 0.2096 | 6.7 | 1400 | 0.1001 | 0.6149 | 0.4342 | 0.6046 | 34.6518 | 38.0501 |
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| 0.1719 | 7.66 | 1600 | 0.0983 | 0.6245 | 0.4439 | 0.6142 | 35.7192 | 38.0501 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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generation_config.json
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.
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}
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.33.0"
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}
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special_tokens_map.json
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{
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"eos_token":
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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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"pad_token": {
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"content": "<pad>",
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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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"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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"eos_token": "</s>",
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"pad_token": "<pad>",
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"unk_token": "<unk>"
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}
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tokenizer_config.json
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{
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"0": {
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"content": "<pad>",
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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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"special": true
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},
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"1": {
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"content": "</s>",
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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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"special": true
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},
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"2": {
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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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"special": true
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}
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},
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"additional_special_tokens": [],
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"extra_ids": 0,
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>"
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}
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{
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"additional_special_tokens": null,
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"extra_ids": 0,
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"tokenizer_class": "T5Tokenizer",
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"tokenizer_file": null,
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"unk_token": "<unk>"
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}
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