File size: 2,355 Bytes
ff00617 d8f3f34 ff00617 d8f3f34 ff00617 d8f3f34 ff00617 |
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 |
---
tags:
- generated_from_trainer
model-index:
- name: seq2seq_huggingface_mix_results
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. -->
# seq2seq_huggingface_mix_results
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.9457
## 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: 5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 10.7021 | 0.0480 | 10 | 10.6458 |
| 10.5611 | 0.0959 | 20 | 10.4143 |
| 10.2935 | 0.1439 | 30 | 10.0786 |
| 9.9673 | 0.1918 | 40 | 9.7462 |
| 9.6468 | 0.2398 | 50 | 9.4724 |
| 9.4303 | 0.2878 | 60 | 9.2583 |
| 9.2452 | 0.3357 | 70 | 9.1136 |
| 9.1357 | 0.3837 | 80 | 9.0100 |
| 9.0307 | 0.4317 | 90 | 8.9296 |
| 8.9363 | 0.4796 | 100 | 8.8591 |
| 8.8781 | 0.5276 | 110 | 8.7821 |
| 8.7907 | 0.5755 | 120 | 8.7088 |
| 8.7214 | 0.6235 | 130 | 8.6329 |
| 8.6375 | 0.6715 | 140 | 8.5511 |
| 8.5439 | 0.7194 | 150 | 8.4701 |
| 8.4715 | 0.7674 | 160 | 8.3835 |
| 8.389 | 0.8153 | 170 | 8.2962 |
| 8.2787 | 0.8633 | 180 | 8.2072 |
| 8.1826 | 0.9113 | 190 | 8.1146 |
| 8.0848 | 0.9592 | 200 | 8.0225 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|