---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: alpaca-test
  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. -->

# alpaca-test

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4690

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 13   | 10.1816         |
| No log        | 2.0   | 26   | 6.3483          |
| No log        | 3.0   | 39   | 3.6923          |
| No log        | 4.0   | 52   | 1.9466          |
| No log        | 5.0   | 65   | 1.0837          |
| No log        | 6.0   | 78   | 0.8578          |
| No log        | 7.0   | 91   | 0.8170          |
| No log        | 8.0   | 104  | 0.7665          |
| No log        | 9.0   | 117  | 0.7464          |
| No log        | 10.0  | 130  | 0.7227          |
| No log        | 11.0  | 143  | 0.7066          |
| No log        | 12.0  | 156  | 0.6916          |
| No log        | 13.0  | 169  | 0.6775          |
| No log        | 14.0  | 182  | 0.6691          |
| No log        | 15.0  | 195  | 0.6563          |
| No log        | 16.0  | 208  | 0.6450          |
| No log        | 17.0  | 221  | 0.6352          |
| No log        | 18.0  | 234  | 0.6260          |
| No log        | 19.0  | 247  | 0.6178          |
| No log        | 20.0  | 260  | 0.6083          |
| No log        | 21.0  | 273  | 0.6015          |
| No log        | 22.0  | 286  | 0.5942          |
| No log        | 23.0  | 299  | 0.5873          |
| No log        | 24.0  | 312  | 0.5821          |
| No log        | 25.0  | 325  | 0.5774          |
| No log        | 26.0  | 338  | 0.5718          |
| No log        | 27.0  | 351  | 0.5663          |
| No log        | 28.0  | 364  | 0.5618          |
| No log        | 29.0  | 377  | 0.5573          |
| No log        | 30.0  | 390  | 0.5529          |
| No log        | 31.0  | 403  | 0.5492          |
| No log        | 32.0  | 416  | 0.5455          |
| No log        | 33.0  | 429  | 0.5427          |
| No log        | 34.0  | 442  | 0.5394          |
| No log        | 35.0  | 455  | 0.5366          |
| No log        | 36.0  | 468  | 0.5336          |
| No log        | 37.0  | 481  | 0.5310          |
| No log        | 38.0  | 494  | 0.5288          |
| No log        | 39.0  | 507  | 0.5265          |
| No log        | 40.0  | 520  | 0.5237          |
| No log        | 41.0  | 533  | 0.5211          |
| No log        | 42.0  | 546  | 0.5190          |
| No log        | 43.0  | 559  | 0.5165          |
| No log        | 44.0  | 572  | 0.5143          |
| No log        | 45.0  | 585  | 0.5130          |
| No log        | 46.0  | 598  | 0.5115          |
| No log        | 47.0  | 611  | 0.5101          |
| No log        | 48.0  | 624  | 0.5085          |
| No log        | 49.0  | 637  | 0.5067          |
| No log        | 50.0  | 650  | 0.5051          |
| No log        | 51.0  | 663  | 0.5035          |
| No log        | 52.0  | 676  | 0.5021          |
| No log        | 53.0  | 689  | 0.5008          |
| No log        | 54.0  | 702  | 0.4992          |
| No log        | 55.0  | 715  | 0.4979          |
| No log        | 56.0  | 728  | 0.4963          |
| No log        | 57.0  | 741  | 0.4950          |
| No log        | 58.0  | 754  | 0.4937          |
| No log        | 59.0  | 767  | 0.4924          |
| No log        | 60.0  | 780  | 0.4911          |
| No log        | 61.0  | 793  | 0.4899          |
| No log        | 62.0  | 806  | 0.4886          |
| No log        | 63.0  | 819  | 0.4874          |
| No log        | 64.0  | 832  | 0.4869          |
| No log        | 65.0  | 845  | 0.4861          |
| No log        | 66.0  | 858  | 0.4850          |
| No log        | 67.0  | 871  | 0.4838          |
| No log        | 68.0  | 884  | 0.4828          |
| No log        | 69.0  | 897  | 0.4817          |
| No log        | 70.0  | 910  | 0.4808          |
| No log        | 71.0  | 923  | 0.4799          |
| No log        | 72.0  | 936  | 0.4790          |
| No log        | 73.0  | 949  | 0.4781          |
| No log        | 74.0  | 962  | 0.4776          |
| No log        | 75.0  | 975  | 0.4769          |
| No log        | 76.0  | 988  | 0.4763          |
| 1.1637        | 77.0  | 1001 | 0.4756          |
| 1.1637        | 78.0  | 1014 | 0.4751          |
| 1.1637        | 79.0  | 1027 | 0.4744          |
| 1.1637        | 80.0  | 1040 | 0.4739          |
| 1.1637        | 81.0  | 1053 | 0.4734          |
| 1.1637        | 82.0  | 1066 | 0.4729          |
| 1.1637        | 83.0  | 1079 | 0.4725          |
| 1.1637        | 84.0  | 1092 | 0.4722          |
| 1.1637        | 85.0  | 1105 | 0.4719          |
| 1.1637        | 86.0  | 1118 | 0.4716          |
| 1.1637        | 87.0  | 1131 | 0.4713          |
| 1.1637        | 88.0  | 1144 | 0.4710          |
| 1.1637        | 89.0  | 1157 | 0.4707          |
| 1.1637        | 90.0  | 1170 | 0.4703          |
| 1.1637        | 91.0  | 1183 | 0.4701          |
| 1.1637        | 92.0  | 1196 | 0.4699          |
| 1.1637        | 93.0  | 1209 | 0.4697          |
| 1.1637        | 94.0  | 1222 | 0.4695          |
| 1.1637        | 95.0  | 1235 | 0.4694          |
| 1.1637        | 96.0  | 1248 | 0.4692          |
| 1.1637        | 97.0  | 1261 | 0.4691          |
| 1.1637        | 98.0  | 1274 | 0.4691          |
| 1.1637        | 99.0  | 1287 | 0.4691          |
| 1.1637        | 100.0 | 1300 | 0.4690          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1