Model save
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- generation_config.json +1 -1
README.md
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---
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license: apache-2.0
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base_model: t5-
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tags:
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- generated_from_trainer
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metrics:
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# randomization_model
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This model is a fine-tuned version of [t5-
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It achieves the following results on the evaluation set:
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- Loss:
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- Bleu: 0.0
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- Accuracy: 0.0
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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
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|:-------------:|:-----:|:----:|:---------------:|:----:|:--------:|:-------:|
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### Framework versions
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- Transformers 4.
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- Pytorch 2.3.0.
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- Datasets 2.
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- Tokenizers 0.
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---
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license: apache-2.0
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base_model: t5-base
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tags:
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- generated_from_trainer
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metrics:
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# randomization_model
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Bleu: 0.0
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- Accuracy: 0.0
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- Gen Len: 0.0
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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: 4
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Accuracy | Gen Len |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:-------:|
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| 1.8655 | 1.0 | 6250 | 1.4874 | 0.0001 | 0.0 | 18.9988 |
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| 1.8508 | 2.0 | 12500 | 1.4878 | 0.0001 | 0.0 | 18.9988 |
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| 1.8781 | 3.0 | 18750 | nan | 0.0 | 0.0 | 0.0 |
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| 0.0 | 4.0 | 25000 | nan | 0.0 | 0.0 | 0.0 |
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### Framework versions
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- Transformers 4.37.1
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- Pytorch 2.3.0.dev20240122+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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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": "4.37.1"
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}
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