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---
license: apache-2.0
base_model: google/long-t5-tglobal-xl
tags:
- generated_from_trainer
datasets:
- tau/scrolls
model-index:
- name: longt5_xl_sfd_20
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. -->
# longt5_xl_sfd_20
This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the tau/scrolls summ_screen_fd dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8167
## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 20.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9377 | 0.97 | 14 | 2.7965 |
| 2.3247 | 1.95 | 28 | 2.2995 |
| 1.9943 | 2.99 | 43 | 2.3308 |
| 1.7056 | 3.97 | 57 | 2.3369 |
| 1.4471 | 4.94 | 71 | 2.5532 |
| 1.1932 | 5.98 | 86 | 2.6961 |
| 0.9199 | 6.96 | 100 | 2.6453 |
| 0.7571 | 8.0 | 115 | 3.0978 |
| 0.6287 | 8.97 | 129 | 3.1458 |
| 0.4939 | 9.95 | 143 | 3.5686 |
| 0.376 | 10.99 | 158 | 3.4260 |
| 0.313 | 11.97 | 172 | 3.9302 |
| 0.2562 | 12.94 | 186 | 3.7433 |
| 0.2051 | 13.98 | 201 | 3.9113 |
| 0.1802 | 14.96 | 215 | 4.0450 |
| 0.1378 | 16.0 | 230 | 3.9397 |
| 0.1546 | 16.97 | 244 | 4.3079 |
| 0.1375 | 17.95 | 258 | 4.5525 |
| 0.1005 | 18.99 | 273 | 4.9005 |
| 0.0808 | 19.48 | 280 | 4.8167 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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