RamsesDIIP
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End of training
Browse files- README.md +68 -0
- generation_config.json +6 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/mt5-base
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tags:
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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: t5-ie-budquo-finetuned
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results: []
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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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# t5-ie-budquo-finetuned
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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: 0.0376
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- Rouge1: 0.1256
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- Rouge2: 0.1059
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- Rougel: 0.1253
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- Rougelsum: 0.1250
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 4
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- eval_batch_size: 3
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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| 0.1216 | 0.9995 | 551 | 0.0391 | 0.1297 | 0.1077 | 0.1294 | 0.1297 |
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| 0.0418 | 1.9991 | 1102 | 0.0176 | 0.1310 | 0.1114 | 0.1310 | 0.1312 |
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| 0.0277 | 2.9986 | 1653 | 0.0141 | 0.1311 | 0.1117 | 0.1314 | 0.1313 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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generation_config.json
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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": "4.44.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2329638768
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version https://git-lfs.github.com/spec/v1
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size 2329638768
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