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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 |
|:-------------:|:-----:|:----:|:---------------:|
| 19.9569 | 1.0 | 44 | 24.5425 |
| 17.0234 | 2.0 | 88 | 15.4055 |
| 11.6683 | 3.0 | 132 | 9.5059 |
| 8.8616 | 4.0 | 176 | 8.7957 |
| 8.2698 | 5.0 | 220 | 8.6316 |
| 8.1875 | 6.0 | 264 | 8.5314 |
| 7.99 | 7.0 | 308 | 8.4160 |
| 7.8585 | 8.0 | 352 | 8.2126 |
| 7.5473 | 9.0 | 396 | 7.7908 |
| 7.1869 | 10.0 | 440 | 7.4343 |
| 7.0103 | 11.0 | 484 | 7.2743 |
| 6.9522 | 12.0 | 528 | 7.1678 |
| 6.8309 | 13.0 | 572 | 7.0572 |
| 1.2882 | 14.0 | 616 | 1.0288 |
| 1.0846 | 15.0 | 660 | 1.0039 |
| 1.072 | 16.0 | 704 | 0.9993 |
| 1.0704 | 17.0 | 748 | 0.9972 |
| 1.0643 | 18.0 | 792 | 0.9962 |
| 1.0574 | 19.0 | 836 | 0.9945 |
| 1.0485 | 20.0 | 880 | 0.9926 |
| 1.0436 | 21.0 | 924 | 0.9924 |
| 1.0587 | 22.0 | 968 | 0.9950 |
| 1.0569 | 23.0 | 1012 | 0.9906 |
| 1.0393 | 24.0 | 1056 | 0.9922 |
| 1.0438 | 25.0 | 1100 | 0.9931 |
| 1.0579 | 26.0 | 1144 | 0.9880 |
| 1.0194 | 27.0 | 1188 | 0.9909 |
| 1.0475 | 28.0 | 1232 | 0.9906 |
| 1.0494 | 29.0 | 1276 | 0.9887 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
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