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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum_0024
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. -->
# flan-t5-base-samsum_0024
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5086
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log | 1.0 | 24 | 0.6959 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 48 | 0.5676 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 3.0 | 72 | 0.4941 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 4.0 | 96 | 0.4727 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 5.0 | 120 | 0.4739 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 6.0 | 144 | 0.4401 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 7.0 | 168 | 0.4557 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 8.0 | 192 | 0.4656 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 9.0 | 216 | 0.4300 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 10.0 | 240 | 0.4769 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 11.0 | 264 | 0.4541 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 12.0 | 288 | 0.4671 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 13.0 | 312 | 0.4726 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 14.0 | 336 | 0.4839 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 15.0 | 360 | 0.4878 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 16.0 | 384 | 0.4753 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 17.0 | 408 | 0.4881 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 18.0 | 432 | 0.5025 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 19.0 | 456 | 0.5028 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 20.0 | 480 | 0.5092 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.3261 | 21.0 | 504 | 0.5040 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.3261 | 22.0 | 528 | 0.5060 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.3261 | 23.0 | 552 | 0.5119 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.3261 | 24.0 | 576 | 0.5079 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.3261 | 25.0 | 600 | 0.5086 | 0.0 | 0.0 | 0.0 | 0.0 |
### Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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