File size: 2,920 Bytes
0d25af7 d96221d 0d25af7 |
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 |
---
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-flan-t5-xl-fine-tuning-for-translation
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. -->
# HeavenlyJoe/flan-t5-large-eng-tgl-translation
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3378
- Bleu: 0.4953
- Gen Len: 19.0
## 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: 4e-05
- 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 1.9527 | 0.44 | 25 | 1.5761 | 0.2146 | 19.0 |
| 1.8866 | 0.88 | 50 | 1.5303 | 0.293 | 19.0 |
| 1.8045 | 1.32 | 75 | 1.5092 | 0.2499 | 19.0 |
| 1.7596 | 1.75 | 100 | 1.4840 | 0.3498 | 19.0 |
| 1.7354 | 2.19 | 125 | 1.4628 | 0.3282 | 19.0 |
| 1.6866 | 2.63 | 150 | 1.4437 | 0.3205 | 19.0 |
| 1.6605 | 3.07 | 175 | 1.4275 | 0.3781 | 19.0 |
| 1.6157 | 3.51 | 200 | 1.4177 | 0.3805 | 19.0 |
| 1.6237 | 3.95 | 225 | 1.4007 | 0.398 | 19.0 |
| 1.5948 | 4.39 | 250 | 1.3954 | 0.4022 | 19.0 |
| 1.5555 | 4.82 | 275 | 1.3866 | 0.3854 | 19.0 |
| 1.5388 | 5.26 | 300 | 1.3761 | 0.4105 | 19.0 |
| 1.5448 | 5.7 | 325 | 1.3712 | 0.4339 | 19.0 |
| 1.5149 | 6.14 | 350 | 1.3635 | 0.4342 | 19.0 |
| 1.5104 | 6.58 | 375 | 1.3566 | 0.459 | 19.0 |
| 1.4955 | 7.02 | 400 | 1.3525 | 0.4888 | 19.0 |
| 1.467 | 7.46 | 425 | 1.3491 | 0.4723 | 19.0 |
| 1.4872 | 7.89 | 450 | 1.3440 | 0.491 | 19.0 |
| 1.4766 | 8.33 | 475 | 1.3423 | 0.5183 | 19.0 |
| 1.4553 | 8.77 | 500 | 1.3404 | 0.5026 | 19.0 |
| 1.464 | 9.21 | 525 | 1.3384 | 0.4979 | 19.0 |
| 1.454 | 9.65 | 550 | 1.3378 | 0.4953 | 19.0 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
|