---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: LLM_course_EncDec_model_summarization
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# LLM_course_EncDec_model_summarization

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4887
- Rouge1: 0.1487
- Rouge2: 0.0572
- Rougel: 0.1252
- Rougelsum: 0.1254
- Gen Len: 19.0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 62   | 2.6119          | 0.1359 | 0.0452 | 0.1141 | 0.1141    | 19.0    |
| No log        | 2.0   | 124  | 2.5336          | 0.1424 | 0.0531 | 0.1197 | 0.1201    | 19.0    |
| No log        | 3.0   | 186  | 2.4987          | 0.1484 | 0.0576 | 0.1259 | 0.126     | 19.0    |
| No log        | 4.0   | 248  | 2.4887          | 0.1487 | 0.0572 | 0.1252 | 0.1254    | 19.0    |


### Framework versions

- Transformers 5.10.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2