Summarization
Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use rugarce/amazon_review_titles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rugarce/amazon_review_titles with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="rugarce/amazon_review_titles")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rugarce/amazon_review_titles") model = AutoModelForSeq2SeqLM.from_pretrained("rugarce/amazon_review_titles") - Notebooks
- Google Colab
- Kaggle
amazon_review_titles
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6291
- Bleu: 2.7651
- Gen Len: 9.814
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.0026 | 1.0 | 625 | 2.6722 | 3.5767 | 9.624 |
| 2.7396 | 2.0 | 1250 | 2.6291 | 2.7651 | 9.814 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 4.7.0
- Tokenizers 0.22.2
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Model tree for rugarce/amazon_review_titles
Base model
google/flan-t5-small