metadata
tags:
- generated_from_trainer
model-index:
- name: seq2seq_huggingface_mix_results
results: []
seq2seq_huggingface_mix_results
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.0175
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.5072 | 0.0480 | 10 | 10.4491 |
| 10.3574 | 0.0959 | 20 | 10.1991 |
| 10.0831 | 0.1439 | 30 | 9.8790 |
| 9.7946 | 0.1918 | 40 | 9.5780 |
| 9.5118 | 0.2398 | 50 | 9.3344 |
| 9.3333 | 0.2878 | 60 | 9.1722 |
| 9.1888 | 0.3357 | 70 | 9.0610 |
| 9.0913 | 0.3837 | 80 | 8.9742 |
| 9.0007 | 0.4317 | 90 | 8.9005 |
| 8.9134 | 0.4796 | 100 | 8.8328 |
| 8.8583 | 0.5276 | 110 | 8.7615 |
| 8.7722 | 0.5755 | 120 | 8.6873 |
| 8.7092 | 0.6235 | 130 | 8.6137 |
| 8.6223 | 0.6715 | 140 | 8.5340 |
| 8.5312 | 0.7194 | 150 | 8.4538 |
| 8.4582 | 0.7674 | 160 | 8.3681 |
| 8.3748 | 0.8153 | 170 | 8.2801 |
| 8.2637 | 0.8633 | 180 | 8.1936 |
| 8.1704 | 0.9113 | 190 | 8.1001 |
| 8.0697 | 0.9592 | 200 | 8.0079 |
| 7.9792 | 1.0072 | 210 | 7.9126 |
| 7.9 | 1.0552 | 220 | 7.8175 |
| 7.8134 | 1.1031 | 230 | 7.7236 |
| 7.7153 | 1.1511 | 240 | 7.6328 |
| 7.6087 | 1.1990 | 250 | 7.5477 |
| 7.5328 | 1.2470 | 260 | 7.4634 |
| 7.4347 | 1.2950 | 270 | 7.3862 |
| 7.3531 | 1.3429 | 280 | 7.3179 |
| 7.3059 | 1.3909 | 290 | 7.2513 |
| 7.2403 | 1.4388 | 300 | 7.1955 |
| 7.2128 | 1.4868 | 310 | 7.1506 |
| 7.1508 | 1.5348 | 320 | 7.1105 |
| 7.1104 | 1.5827 | 330 | 7.0835 |
| 7.067 | 1.6307 | 340 | 7.0655 |
| 7.0594 | 1.6787 | 350 | 7.0558 |
| 7.0591 | 1.7266 | 360 | 7.0411 |
| 7.0129 | 1.7746 | 370 | 7.0381 |
| 7.0107 | 1.8225 | 380 | 7.0344 |
| 7.0549 | 1.8705 | 390 | 7.0268 |
| 7.0358 | 1.9185 | 400 | 7.0249 |
| 7.0395 | 1.9664 | 410 | 7.0242 |
| 7.0105 | 2.0144 | 420 | 7.0215 |
| 7.0113 | 2.0624 | 430 | 7.0259 |
| 6.9985 | 2.1103 | 440 | 7.0213 |
| 7.0218 | 2.1583 | 450 | 7.0218 |
| 6.9735 | 2.2062 | 460 | 7.0275 |
| 7.0132 | 2.2542 | 470 | 7.0254 |
| 7.0241 | 2.3022 | 480 | 7.0219 |
| 7.0127 | 2.3501 | 490 | 7.0238 |
| 6.9644 | 2.3981 | 500 | 7.0249 |
| 7.0103 | 2.4460 | 510 | 7.0259 |
| 7.006 | 2.4940 | 520 | 7.0266 |
| 6.9882 | 2.5420 | 530 | 7.0235 |
| 7.0016 | 2.5899 | 540 | 7.0235 |
| 7.002 | 2.6379 | 550 | 7.0217 |
| 6.9782 | 2.6859 | 560 | 7.0196 |
| 6.9833 | 2.7338 | 570 | 7.0198 |
| 6.9967 | 2.7818 | 580 | 7.0202 |
| 6.9644 | 2.8297 | 590 | 7.0196 |
| 6.9825 | 2.8777 | 600 | 7.0199 |
| 7.0097 | 2.9257 | 610 | 7.0178 |
| 6.9909 | 2.9736 | 620 | 7.0175 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1