Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use henri28/small_dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henri28/small_dataset with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("henri28/small_dataset") model = AutoModelForSeq2SeqLM.from_pretrained("henri28/small_dataset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
update model card README.md
Browse files
README.md
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Sacrebleu:
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- Gen Len: 11.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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- eval_batch_size:
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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 | Sacrebleu | Gen Len |
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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 | 30 | 0.7070 | 6.3859 | 11.5238 |
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| No log | 7.0 | 35 | 0.7050 | 6.3859 | 11.5238 |
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| No log | 8.0 | 40 | 0.7035 | 6.3859 | 11.5238 |
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| No log | 9.0 | 45 | 0.7025 | 6.3859 | 11.5238 |
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| No log | 10.0 | 50 | 0.7022 | 6.3859 | 11.5238 |
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### Framework versions
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8369
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- Sacrebleu: 12.0986
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- Gen Len: 11.0
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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| No log | 1.0 | 3 | 0.8464 | 12.0986 | 11.0 |
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| No log | 2.0 | 6 | 0.8420 | 12.0986 | 11.0 |
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| No log | 3.0 | 9 | 0.8393 | 12.0986 | 11.0 |
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| No log | 4.0 | 12 | 0.8375 | 12.0986 | 11.0 |
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| No log | 5.0 | 15 | 0.8369 | 12.0986 | 11.0 |
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### Framework versions
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