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---
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
model-index:
- name: SChem5Labels-google-t5-v1_1-large-intra_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. -->
# SChem5Labels-google-t5-v1_1-large-intra_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: 1.1455
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 20.1373 | 1.0 | 25 | 23.9902 |
| 19.3278 | 2.0 | 50 | 23.0330 |
| 18.61 | 3.0 | 75 | 19.3564 |
| 16.6643 | 4.0 | 100 | 12.7192 |
| 15.008 | 5.0 | 125 | 10.2820 |
| 12.6828 | 6.0 | 150 | 9.4364 |
| 11.5627 | 7.0 | 175 | 9.0709 |
| 9.5974 | 8.0 | 200 | 8.8406 |
| 8.7995 | 9.0 | 225 | 8.5809 |
| 8.1331 | 10.0 | 250 | 8.4198 |
| 7.9315 | 11.0 | 275 | 8.3298 |
| 7.8545 | 12.0 | 300 | 8.2475 |
| 7.7219 | 13.0 | 325 | 8.1188 |
| 7.4693 | 14.0 | 350 | 7.8444 |
| 7.3416 | 15.0 | 375 | 7.5661 |
| 6.958 | 16.0 | 400 | 7.3479 |
| 6.9627 | 17.0 | 425 | 7.2154 |
| 6.9852 | 18.0 | 450 | 7.1438 |
| 6.7137 | 19.0 | 475 | 7.0960 |
| 6.7186 | 20.0 | 500 | 7.0620 |
| 6.704 | 21.0 | 525 | 7.0248 |
| 6.6092 | 22.0 | 550 | 6.9869 |
| 6.665 | 23.0 | 575 | 6.8663 |
| 1.2056 | 24.0 | 600 | 1.1299 |
| 1.1741 | 25.0 | 625 | 1.1157 |
| 1.1548 | 26.0 | 650 | 1.1137 |
| 1.1387 | 27.0 | 675 | 1.1143 |
| 1.1437 | 28.0 | 700 | 1.1079 |
| 1.136 | 29.0 | 725 | 1.1064 |
| 1.1503 | 30.0 | 750 | 1.1101 |
| 1.1428 | 31.0 | 775 | 1.1096 |
| 1.1365 | 32.0 | 800 | 1.1120 |
| 1.151 | 33.0 | 825 | 1.1133 |
| 1.1469 | 34.0 | 850 | 1.1090 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.6.1
- Tokenizers 0.14.1
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