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T10
shahadalll/T10
T10 is a text generation model from shahadalll. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- Deltalm
- Access
- Public
- Created
- Feb 13, 2024
- Updated
- Feb 13, 2024
- SHA
- bc72573d
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Base models
Model card
From the Hugging Face model README
<!-- 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. -->
T10
This model is a fine-tuned version of hhhhzy/deltalm-base-xlsum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6357
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 64
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.805 | 1.0 | 6 | 0.3684 |
| 0.2843 | 2.0 | 12 | 0.3604 |
| 0.2494 | 3.0 | 18 | 0.3970 |
| 0.1528 | 4.0 | 24 | 0.4507 |
| 0.0779 | 5.0 | 30 | 0.5024 |
| 0.0482 | 6.0 | 36 | 0.5399 |
| 0.0246 | 7.0 | 42 | 0.5612 |
| 0.0202 | 8.0 | 48 | 0.5788 |
| 0.0172 | 9.0 | 54 | 0.6024 |
| 0.0147 | 10.0 | 60 | 0.6003 |
| 0.0115 | 11.0 | 66 | 0.5960 |
| 0.0124 | 12.0 | 72 | 0.6035 |
| 0.0122 | 13.0 | 78 | 0.6135 |
| 0.0121 | 14.0 | 84 | 0.6105 |
| 0.0101 | 15.0 | 90 | 0.6155 |
| 0.0103 | 16.0 | 96 | 0.6188 |
| 0.0087 | 17.0 | 102 | 0.6192 |
| 0.015 | 18.0 | 108 | 0.6113 |
| 0.0092 | 19.0 | 114 | 0.6141 |
| 0.0091 | 20.0 | 120 | 0.6220 |
| 0.0088 | 21.0 | 126 | 0.6243 |
| 0.009 | 22.0 | 132 | 0.6239 |
| 0.0085 | 23.0 | 138 | 0.6199 |
| 0.0093 | 24.0 | 144 | 0.6183 |
| 0.0092 | 25.0 | 150 | 0.6170 |
| 0.0086 | 26.0 | 156 | 0.6154 |
| 0.0084 | 27.0 | 162 | 0.6154 |
| 0.0082 | 28.0 | 168 | 0.6182 |
| 0.0083 | 29.0 | 174 | 0.6224 |
| 0.0082 | 30.0 | 180 | 0.6250 |
| 0.0086 | 31.0 | 186 | 0.6263 |
| 0.0078 | 32.0 | 192 | 0.6270 |
| 0.0081 | 33.0 | 198 | 0.6271 |
| 0.0081 | 34.0 | 204 | 0.6276 |
| 0.0082 | 35.0 | 210 | 0.6280 |
| 0.0078 | 36.0 | 216 | 0.6292 |
| 0.0078 | 37.0 | 222 | 0.6302 |
| 0.0079 | 38.0 | 228 | 0.6314 |
| 0.0081 | 39.0 | 234 | 0.6319 |
| 0.0083 | 40.0 | 240 | 0.6318 |
| 0.0076 | 41.0 | 246 | 0.6317 |
| 0.0079 | 42.0 | 252 | 0.6309 |
| 0.0084 | 43.0 | 258 | 0.6304 |
| 0.0078 | 44.0 | 264 | 0.6307 |
| 0.0079 | 45.0 | 270 | 0.6309 |
| 0.0076 | 46.0 | 276 | 0.6312 |
| 0.0076 | 47.0 | 282 | 0.6313 |
| 0.008 | 48.0 | 288 | 0.6316 |
| 0.0081 | 49.0 | 294 | 0.6320 |
| 0.0077 | 50.0 | 300 | 0.6323 |
| 0.0075 | 51.0 | 306 | 0.6328 |
| 0.0077 | 52.0 | 312 | 0.6336 |
| 0.0076 | 53.0 | 318 | 0.6342 |
| 0.0077 | 54.0 | 324 | 0.6344 |
| 0.0075 | 55.0 | 330 | 0.6346 |
| 0.0079 | 56.0 | 336 | 0.6350 |
| 0.0076 | 57.0 | 342 | 0.6350 |
| 0.0078 | 58.0 | 348 | 0.6355 |
| 0.0077 | 59.0 | 354 | 0.6357 |
| 0.0074 | 60.0 | 360 | 0.6358 |
| 0.0075 | 61.0 | 366 | 0.6358 |
| 0.0075 | 62.0 | 372 | 0.6358 |
| 0.0077 | 63.0 | 378 | 0.6357 |
| 0.0073 | 64.0 | 384 | 0.6357 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Task
- Text Generation
- Library
- transformers
- Type
- Deltalm
- Created
- Feb 13, 2024
- Updated
- Feb 13, 2024