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---
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
model-index:
- name: SBIC-google-t5-v1_1-large-inter_model-frequency-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. -->
# SBIC-google-t5-v1_1-large-inter_model-frequency-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: 0.3635
## 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: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 7.7146 | 1.0 | 392 | 8.2917 |
| 0.5241 | 2.0 | 784 | 0.4371 |
| 0.4312 | 3.0 | 1176 | 0.4278 |
| 0.4359 | 4.0 | 1568 | 0.4084 |
| 0.3616 | 5.0 | 1960 | 0.3634 |
| 0.397 | 6.0 | 2352 | 0.3568 |
| 0.3647 | 7.0 | 2744 | 0.3387 |
| 0.3936 | 8.0 | 3136 | 0.3365 |
| 0.3614 | 9.0 | 3528 | 0.3341 |
| 0.3403 | 10.0 | 3920 | 0.3278 |
| 0.3048 | 11.0 | 4312 | 0.3227 |
| 0.347 | 12.0 | 4704 | 0.3218 |
| 0.337 | 13.0 | 5096 | 0.3136 |
| 0.3166 | 14.0 | 5488 | 0.3112 |
| 0.3021 | 15.0 | 5880 | 0.3119 |
| 0.3155 | 16.0 | 6272 | 0.3051 |
| 0.2965 | 17.0 | 6664 | 0.3054 |
| 0.3196 | 18.0 | 7056 | 0.2989 |
| 0.2857 | 19.0 | 7448 | 0.2964 |
| 0.3776 | 20.0 | 7840 | 0.2905 |
| 0.288 | 21.0 | 8232 | 0.2889 |
| 0.2632 | 22.0 | 8624 | 0.2911 |
| 0.3014 | 23.0 | 9016 | 0.2862 |
| 0.3015 | 24.0 | 9408 | 0.2869 |
| 0.3254 | 25.0 | 9800 | 0.2858 |
| 0.3178 | 26.0 | 10192 | 0.2860 |
| 0.2994 | 27.0 | 10584 | 0.2860 |
| 0.2893 | 28.0 | 10976 | 0.2860 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
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