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EnabledChat-lora
0x70DA/EnabledChat-lora
EnabledChat-lora is a text generation model from 0x70DA. Use it when you need the model to write or continue text. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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Public
Updated May 11, 2023
Repo size
1.8 GB
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0
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Repo makeup
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.pt1.2 GB · 65%
At a glance
- Task
- Text Generation
- License
- other
- Access
- Public
- Created
- May 7, 2023
- Updated
- May 11, 2023
- SHA
- 066467c5
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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. -->
EnabledChat
This model is a fine-tuned version of facebook/opt-1.3b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1152
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2849 | 0.06 | 200 | 1.2346 |
| 1.2515 | 0.13 | 400 | 1.2077 |
| 1.1859 | 0.19 | 600 | 1.1948 |
| 1.2007 | 0.26 | 800 | 1.1845 |
| 1.2085 | 0.32 | 1000 | 1.1763 |
| 1.2036 | 0.38 | 1200 | 1.1710 |
| 1.2134 | 0.45 | 1400 | 1.1655 |
| 1.1869 | 0.51 | 1600 | 1.1610 |
| 1.2017 | 0.58 | 1800 | 1.1573 |
| 1.2139 | 0.64 | 2000 | 1.1537 |
| 1.1302 | 0.7 | 2200 | 1.1510 |
| 1.1799 | 0.77 | 2400 | 1.1480 |
| 1.1518 | 0.83 | 2600 | 1.1461 |
| 1.1752 | 0.9 | 2800 | 1.1434 |
| 1.1584 | 0.96 | 3000 | 1.1415 |
| 1.1311 | 1.02 | 3200 | 1.1400 |
| 1.1595 | 1.09 | 3400 | 1.1374 |
| 1.1721 | 1.15 | 3600 | 1.1365 |
| 1.1597 | 1.22 | 3800 | 1.1355 |
| 1.1718 | 1.28 | 4000 | 1.1335 |
| 1.1639 | 1.34 | 4200 | 1.1315 |
| 1.1448 | 1.41 | 4400 | 1.1312 |
| 1.1645 | 1.47 | 4600 | 1.1296 |
| 1.1562 | 1.54 | 4800 | 1.1282 |
| 1.1619 | 1.6 | 5000 | 1.1273 |
| 1.1794 | 1.66 | 5200 | 1.1270 |
| 1.178 | 1.73 | 5400 | 1.1254 |
| 1.1291 | 1.79 | 5600 | 1.1246 |
| 1.1235 | 1.86 | 5800 | 1.1234 |
| 1.1169 | 1.92 | 6000 | 1.1222 |
| 1.1494 | 1.98 | 6200 | 1.1214 |
| 1.1032 | 2.05 | 6400 | 1.1218 |
| 1.1269 | 2.11 | 6600 | 1.1207 |
| 1.1561 | 2.18 | 6800 | 1.1203 |
| 1.152 | 2.24 | 7000 | 1.1199 |
| 1.1335 | 2.3 | 7200 | 1.1191 |
| 1.1341 | 2.37 | 7400 | 1.1184 |
| 1.0963 | 2.43 | 7600 | 1.1180 |
| 1.1179 | 2.5 | 7800 | 1.1172 |
| 1.1176 | 2.56 | 8000 | 1.1170 |
| 1.15 | 2.62 | 8200 | 1.1165 |
| 1.073 | 2.69 | 8400 | 1.1164 |
| 1.1737 | 2.75 | 8600 | 1.1156 |
| 1.1251 | 2.82 | 8800 | 1.1156 |
| 1.1548 | 2.88 | 9000 | 1.1154 |
| 1.1046 | 2.94 | 9200 | 1.1152 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Text Generation
- License
- other
- Created
- May 7, 2023
- Updated
- May 11, 2023