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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-intra_model-shuffle-human_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-intra_model-shuffle-human_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: 7.5234
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 21.0865 | 1.0 | 44 | 23.6328 |
| 19.3373 | 2.0 | 88 | 17.3411 |
| 14.3861 | 3.0 | 132 | 11.9747 |
| 11.4823 | 4.0 | 176 | 10.9355 |
| 10.5154 | 5.0 | 220 | 10.7808 |
| 10.1482 | 6.0 | 264 | 10.7065 |
| 10.0319 | 7.0 | 308 | 10.5792 |
| 9.8259 | 8.0 | 352 | 10.2032 |
| 9.1712 | 9.0 | 396 | 9.5730 |
| 8.8567 | 10.0 | 440 | 9.2184 |
| 8.626 | 11.0 | 484 | 9.0661 |
| 8.5469 | 12.0 | 528 | 8.9471 |
| 6.3996 | 13.0 | 572 | 1.5474 |
| 1.3785 | 14.0 | 616 | 1.3062 |
| 1.3229 | 15.0 | 660 | 1.2992 |
| 1.3309 | 16.0 | 704 | 1.3052 |
| 1.3341 | 17.0 | 748 | 1.2961 |
| 1.3281 | 18.0 | 792 | 1.2946 |
| 1.3219 | 19.0 | 836 | 1.3034 |
| 1.3185 | 20.0 | 880 | 1.2989 |
| 1.3184 | 21.0 | 924 | 1.2985 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.6.1
- Tokenizers 0.14.1
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