Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Samavia/Summary_model_trained_on_reduced_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samavia/Summary_model_trained_on_reduced_data with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Samavia/Summary_model_trained_on_reduced_data") model = AutoModelForSeq2SeqLM.from_pretrained("Samavia/Summary_model_trained_on_reduced_data") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
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: t5-small
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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: Summary_model_trained_on_reduced_data
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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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# Summary_model_trained_on_reduced_data
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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: 1.6040
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- Rouge1: 0.2182
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- Rouge2: 0.0945
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- Rougel: 0.1844
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- Rougelsum: 0.1842
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- Generated Length: 19.0
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 3
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
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| No log | 1.0 | 431 | 1.6239 | 0.2169 | 0.0932 | 0.1827 | 0.1827 | 19.0 |
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| 1.9203 | 2.0 | 862 | 1.6075 | 0.2167 | 0.0937 | 0.1829 | 0.1828 | 19.0 |
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| 1.822 | 3.0 | 1293 | 1.6040 | 0.2182 | 0.0945 | 0.1844 | 0.1842 | 19.0 |
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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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runs/Oct02_20-11-01_88cd6d8c702b/events.out.tfevents.1727899862.88cd6d8c702b.1995.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 8327
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