File size: 3,260 Bytes
e8dde10 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 |
---
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
model-index:
- name: SChem5Labels-google-t5-v1_1-large-inter_model-dataset-frequency-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-inter_model-dataset-frequency-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: 0.8911
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 19.7803 | 1.0 | 25 | 23.9207 |
| 18.7939 | 2.0 | 50 | 19.6774 |
| 17.9347 | 3.0 | 75 | 14.1935 |
| 14.9562 | 4.0 | 100 | 11.5018 |
| 12.9185 | 5.0 | 125 | 9.7946 |
| 11.0104 | 6.0 | 150 | 9.0519 |
| 10.1946 | 7.0 | 175 | 8.9336 |
| 8.6775 | 8.0 | 200 | 8.6692 |
| 8.2895 | 9.0 | 225 | 8.4222 |
| 8.067 | 10.0 | 250 | 8.2689 |
| 7.7922 | 11.0 | 275 | 8.1862 |
| 7.702 | 12.0 | 300 | 8.0916 |
| 7.5801 | 13.0 | 325 | 7.9765 |
| 7.4381 | 14.0 | 350 | 7.7605 |
| 7.4223 | 15.0 | 375 | 7.4846 |
| 7.0379 | 16.0 | 400 | 7.3010 |
| 6.9279 | 17.0 | 425 | 7.1606 |
| 6.7912 | 18.0 | 450 | 7.0390 |
| 6.7047 | 19.0 | 475 | 6.9686 |
| 6.5986 | 20.0 | 500 | 6.9092 |
| 6.5577 | 21.0 | 525 | 6.8427 |
| 6.4589 | 22.0 | 550 | 6.7866 |
| 6.3207 | 23.0 | 575 | 6.7021 |
| 1.1695 | 24.0 | 600 | 0.7696 |
| 0.7697 | 25.0 | 625 | 0.6522 |
| 0.6978 | 26.0 | 650 | 0.6488 |
| 0.6832 | 27.0 | 675 | 0.6470 |
| 0.7033 | 28.0 | 700 | 0.6322 |
| 0.692 | 29.0 | 725 | 0.6369 |
| 0.6703 | 30.0 | 750 | 0.6372 |
| 0.6781 | 31.0 | 775 | 0.6364 |
| 0.677 | 32.0 | 800 | 0.6252 |
| 0.6632 | 33.0 | 825 | 0.6301 |
| 0.6684 | 34.0 | 850 | 0.6254 |
| 0.6823 | 35.0 | 875 | 0.6312 |
| 0.6665 | 36.0 | 900 | 0.6328 |
| 0.6583 | 37.0 | 925 | 0.6256 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
|