End of training
Browse files- README.md +19 -20
- model.safetensors +1 -1
- runs/Dec06_08-52-03_7bb9bb6007a1/events.out.tfevents.1701852743.7bb9bb6007a1.626.0 +3 -0
- special_tokens_map.json +3 -21
- tokenizer.json +16 -2
- tokenizer_config.json +0 -7
- training_args.bin +2 -2
README.md
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# maximo-t5-chat
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on
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It achieves the following results on the evaluation set:
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- Loss:
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- Rouge1:
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- Rouge2:
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- Rougel:
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- Rougelsum:
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- Gen Len:
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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 | Rouge1 | Rouge2
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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| No log | 7.0 |
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| No log | 8.0 |
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| No log | 9.0 | 18 | 1.9695 | 39.4309 | 29.1975 | 35.6826 | 37.226 | 16.0 |
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| No log | 10.0 | 20 | 1.9662 | 40.75 | 29.1975 | 37.9379 | 38.4814 | 16.0 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Tokenizers 0.15.0
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# maximo-t5-chat
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2093
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- Rouge1: 27.8954
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- Rouge2: 7.9325
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- Rougel: 27.8954
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- Rougelsum: 27.0723
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- Gen Len: 12.6667
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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| No log | 1.0 | 3 | 2.8591 | 15.4762 | 2.439 | 15.0794 | 15.4762 | 16.1667 |
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| No log | 2.0 | 6 | 2.5612 | 13.0291 | 2.439 | 12.6323 | 13.0291 | 16.1667 |
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| No log | 3.0 | 9 | 2.4590 | 14.6825 | 2.439 | 14.2857 | 14.2857 | 10.6667 |
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| No log | 4.0 | 12 | 2.3716 | 14.6825 | 2.439 | 14.2857 | 14.2857 | 12.0 |
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| No log | 5.0 | 15 | 2.2986 | 19.4444 | 2.439 | 19.0476 | 19.0476 | 13.0 |
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| No log | 6.0 | 18 | 2.2474 | 27.1017 | 7.9325 | 27.1017 | 26.2787 | 11.3333 |
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| No log | 7.0 | 21 | 2.2220 | 27.8954 | 7.9325 | 27.8954 | 27.0723 | 12.6667 |
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| No log | 8.0 | 24 | 2.2093 | 27.8954 | 7.9325 | 27.8954 | 27.0723 | 12.6667 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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special_tokens_map.json
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"<extra_id_98>",
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"<extra_id_99>"
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],
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"eos_token":
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"normalized": false,
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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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"<extra_id_98>",
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"<extra_id_99>"
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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.json
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{
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"version": "1.0",
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"truncation":
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"added_tokens": [
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tokenizer_config.json
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"extra_ids": 100,
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "T5Tokenizer",
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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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training_args.bin
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