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---
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
model-index:
- name: Sentiment-google-t5-v1_1-large-inter_model-shuffle-model_annots_str
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. -->
# Sentiment-google-t5-v1_1-large-inter_model-shuffle-model_annots_str
This model is a fine-tuned version of [google/t5-v1_1-large](https://huggingface.co/google/t5-v1_1-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
## 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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 19.9297 | 1.0 | 44 | 24.0270 |
| 17.8061 | 2.0 | 88 | 15.7129 |
| 12.1985 | 3.0 | 132 | 9.5557 |
| 9.3551 | 4.0 | 176 | 8.8485 |
| 8.3343 | 5.0 | 220 | 8.6630 |
| 8.1976 | 6.0 | 264 | 8.5339 |
| 8.0013 | 7.0 | 308 | 8.4201 |
| 7.8655 | 8.0 | 352 | 8.2116 |
| 7.4859 | 9.0 | 396 | 7.6870 |
| 7.122 | 10.0 | 440 | 7.3664 |
| 6.9723 | 11.0 | 484 | 7.2356 |
| 6.9118 | 12.0 | 528 | 7.1352 |
| 6.7457 | 13.0 | 572 | 6.9906 |
| 1.1378 | 14.0 | 616 | 1.0087 |
| 1.082 | 15.0 | 660 | 1.0024 |
| 1.0727 | 16.0 | 704 | 1.0054 |
| 1.0694 | 17.0 | 748 | 0.9990 |
| 1.0636 | 18.0 | 792 | 0.9929 |
| 1.053 | 19.0 | 836 | 0.9968 |
| 1.0486 | 20.0 | 880 | 0.9923 |
| 1.0446 | 21.0 | 924 | 0.9907 |
| 1.0551 | 22.0 | 968 | 0.9910 |
| 1.0583 | 23.0 | 1012 | 0.9896 |
| 1.0463 | 24.0 | 1056 | 0.9915 |
| 1.049 | 25.0 | 1100 | 0.9883 |
| 1.0603 | 26.0 | 1144 | 0.9879 |
| 1.0221 | 27.0 | 1188 | 0.9890 |
| 1.0526 | 28.0 | 1232 | 0.9904 |
| 1.0529 | 29.0 | 1276 | 0.9857 |
| 1.0373 | 30.0 | 1320 | 0.9888 |
| 1.0604 | 31.0 | 1364 | 0.9878 |
| 1.0393 | 32.0 | 1408 | 0.9872 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
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