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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- bitnet |
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- 1.58b |
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- Distily |
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- generated_from_trainer |
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model-index: |
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- name: gpt2_distily |
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results: [] |
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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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# gpt2_distily |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1280.4192 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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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: cosine |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| No log | 0 | 0 | 13088.9219 | |
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| 2126.0 | 0.0323 | 2000 | 1936.6752 | |
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| 1836.0 | 0.0646 | 4000 | 1773.7856 | |
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| 1808.0 | 0.0970 | 6000 | 1547.3760 | |
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| 1546.0 | 0.1293 | 8000 | 1487.7600 | |
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| 1576.0 | 0.1616 | 10000 | 1449.2288 | |
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| 1548.0 | 0.1939 | 12000 | 1413.3920 | |
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| 1246.0 | 0.2263 | 14000 | 1387.0656 | |
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| 1516.0 | 0.2586 | 16000 | 1364.6768 | |
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| 1330.0 | 0.2909 | 18000 | 1346.6160 | |
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| 1284.0 | 0.3232 | 20000 | 1332.1040 | |
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| 1290.0 | 0.3556 | 22000 | 1320.7792 | |
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| 1390.0 | 0.3879 | 24000 | 1310.2496 | |
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| 1568.0 | 0.4202 | 26000 | 1302.9937 | |
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| 1404.0 | 0.4525 | 28000 | 1299.0112 | |
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| 1528.0 | 0.4848 | 30000 | 1293.5887 | |
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| 1263.0 | 0.5172 | 32000 | 1290.0032 | |
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| 1294.0 | 0.5495 | 34000 | 1287.8672 | |
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| 1355.0 | 0.5818 | 36000 | 1285.7808 | |
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| 1300.0 | 0.6141 | 38000 | 1283.5009 | |
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| 1368.0 | 0.6465 | 40000 | 1282.9136 | |
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| 1496.0 | 0.6788 | 42000 | 1281.6096 | |
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| 1502.0 | 0.7111 | 44000 | 1281.7408 | |
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| 1352.0 | 0.7434 | 46000 | 1280.9344 | |
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| 1418.0 | 0.7758 | 48000 | 1280.6288 | |
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| 1158.0 | 0.8081 | 50000 | 1280.5760 | |
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| 1534.0 | 0.8404 | 52000 | 1280.4000 | |
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| 1276.0 | 0.8727 | 54000 | 1280.4032 | |
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| 1184.0 | 0.9051 | 56000 | 1280.4160 | |
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| 1370.0 | 0.9374 | 58000 | 1280.4320 | |
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| 1210.0 | 0.9697 | 60000 | 1280.4192 | |
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### Framework versions |
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- Transformers 4.43.3 |
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- Pytorch 2.3.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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