EnabledChat-lora / README.md
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metadata
license: other
tags:
  - generated_from_trainer
model-index:
  - name: EnabledChat
    results: []
pipeline_tag: text-generation

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