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--- |
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license: apache-2.0 |
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base_model: google/t5-v1_1-xl |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: SBIC-google-t5-v1_1-xl-intra-frequency-model-cross-ent |
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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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# SBIC-google-t5-v1_1-xl-intra-frequency-model-cross-ent |
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This model is a fine-tuned version of [google/t5-v1_1-xl](https://huggingface.co/google/t5-v1_1-xl) 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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## 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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5213 | 1.0 | 1565 | 0.5854 | |
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| 0.0 | 2.0 | 3130 | nan | |
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| 0.0 | 3.0 | 4695 | nan | |
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| 0.0 | 4.0 | 6260 | nan | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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