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0x70DA
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EnabledChat

Text Generation
Transformers
PyTorch
opt
Generated from Trainer
Inference Endpoints
text-generation-inference
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+ ---
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+ license: other
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: EnabledChat
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+ results: []
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+ pipeline_tag: text-generation
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # EnabledChat
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+
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+ This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1152
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 3
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.2849 | 0.06 | 200 | 1.2346 |
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+ | 1.2515 | 0.13 | 400 | 1.2077 |
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+ | 1.1859 | 0.19 | 600 | 1.1948 |
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+ | 1.2007 | 0.26 | 800 | 1.1845 |
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+ | 1.2085 | 0.32 | 1000 | 1.1763 |
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+ | 1.2036 | 0.38 | 1200 | 1.1710 |
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+ | 1.2134 | 0.45 | 1400 | 1.1655 |
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+ | 1.1869 | 0.51 | 1600 | 1.1610 |
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+ | 1.2017 | 0.58 | 1800 | 1.1573 |
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+ | 1.2139 | 0.64 | 2000 | 1.1537 |
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+ | 1.1302 | 0.7 | 2200 | 1.1510 |
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+ | 1.1799 | 0.77 | 2400 | 1.1480 |
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+ | 1.1518 | 0.83 | 2600 | 1.1461 |
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+ | 1.1752 | 0.9 | 2800 | 1.1434 |
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+ | 1.1584 | 0.96 | 3000 | 1.1415 |
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+ | 1.1311 | 1.02 | 3200 | 1.1400 |
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+ | 1.1595 | 1.09 | 3400 | 1.1374 |
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+ | 1.1721 | 1.15 | 3600 | 1.1365 |
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+ | 1.1597 | 1.22 | 3800 | 1.1355 |
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+ | 1.1718 | 1.28 | 4000 | 1.1335 |
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+ | 1.1639 | 1.34 | 4200 | 1.1315 |
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+ | 1.1448 | 1.41 | 4400 | 1.1312 |
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+ | 1.1645 | 1.47 | 4600 | 1.1296 |
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+ | 1.1562 | 1.54 | 4800 | 1.1282 |
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+ | 1.1619 | 1.6 | 5000 | 1.1273 |
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+ | 1.1794 | 1.66 | 5200 | 1.1270 |
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+ | 1.178 | 1.73 | 5400 | 1.1254 |
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+ | 1.1291 | 1.79 | 5600 | 1.1246 |
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+ | 1.1235 | 1.86 | 5800 | 1.1234 |
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+ | 1.1169 | 1.92 | 6000 | 1.1222 |
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+ | 1.1494 | 1.98 | 6200 | 1.1214 |
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+ | 1.1032 | 2.05 | 6400 | 1.1218 |
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+ | 1.1269 | 2.11 | 6600 | 1.1207 |
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+ | 1.1561 | 2.18 | 6800 | 1.1203 |
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+ | 1.152 | 2.24 | 7000 | 1.1199 |
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+ | 1.1335 | 2.3 | 7200 | 1.1191 |
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+ | 1.1341 | 2.37 | 7400 | 1.1184 |
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+ | 1.0963 | 2.43 | 7600 | 1.1180 |
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+ | 1.1179 | 2.5 | 7800 | 1.1172 |
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+ | 1.1176 | 2.56 | 8000 | 1.1170 |
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+ | 1.15 | 2.62 | 8200 | 1.1165 |
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+ | 1.073 | 2.69 | 8400 | 1.1164 |
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+ | 1.1737 | 2.75 | 8600 | 1.1156 |
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+ | 1.1251 | 2.82 | 8800 | 1.1156 |
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+ | 1.1548 | 2.88 | 9000 | 1.1154 |
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+ | 1.1046 | 2.94 | 9200 | 1.1152 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.0.dev0
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+ - Pytorch 2.0.0
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+ - Datasets 2.11.0
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+ - Tokenizers 0.13.3