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--- |
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license: gemma |
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base_model: google/gemma-2-2b |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: collapse_gemma-2-2b_hs2_accumulate_iter2_sftsd1 |
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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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# collapse_gemma-2-2b_hs2_accumulate_iter2_sftsd1 |
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This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0975 |
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- Num Input Tokens Seen: 13721160 |
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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: 8e-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 1 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:| |
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| No log | 0 | 0 | 1.3956 | 0 | |
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| 1.5421 | 0.0206 | 5 | 1.3563 | 284760 | |
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| 1.4213 | 0.0412 | 10 | 1.2364 | 571568 | |
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| 1.3773 | 0.0618 | 15 | 1.1718 | 845064 | |
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| 1.2116 | 0.0824 | 20 | 1.1443 | 1127704 | |
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| 1.1315 | 0.1030 | 25 | 1.1199 | 1412496 | |
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| 1.1024 | 0.1236 | 30 | 1.1226 | 1698920 | |
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| 1.0443 | 0.1441 | 35 | 1.1252 | 1986472 | |
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| 1.0363 | 0.1647 | 40 | 1.1266 | 2267632 | |
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| 1.0423 | 0.1853 | 45 | 1.1341 | 2547936 | |
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| 0.9706 | 0.2059 | 50 | 1.1300 | 2830576 | |
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| 0.9604 | 0.2265 | 55 | 1.1429 | 3118224 | |
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| 0.9255 | 0.2471 | 60 | 1.1355 | 3404464 | |
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| 0.9483 | 0.2677 | 65 | 1.1537 | 3688352 | |
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| 0.8534 | 0.2883 | 70 | 1.1419 | 3977080 | |
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| 0.8731 | 0.3089 | 75 | 1.1393 | 4258200 | |
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| 0.8774 | 0.3295 | 80 | 1.1458 | 4542712 | |
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| 0.8021 | 0.3501 | 85 | 1.1396 | 4833248 | |
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| 0.7919 | 0.3707 | 90 | 1.1405 | 5110392 | |
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| 0.765 | 0.3912 | 95 | 1.1369 | 5394440 | |
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| 0.6146 | 0.4118 | 100 | 1.1466 | 5677160 | |
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| 0.7264 | 0.4324 | 105 | 1.1348 | 5959104 | |
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| 0.6176 | 0.4530 | 110 | 1.1390 | 6236792 | |
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| 0.718 | 0.4736 | 115 | 1.1362 | 6522184 | |
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| 0.6601 | 0.4942 | 120 | 1.1386 | 6805272 | |
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| 0.7045 | 0.5148 | 125 | 1.1291 | 7080584 | |
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| 0.6125 | 0.5354 | 130 | 1.1355 | 7359048 | |
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| 0.7828 | 0.5560 | 135 | 1.1299 | 7639800 | |
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| 0.7475 | 0.5766 | 140 | 1.1292 | 7925000 | |
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| 0.7263 | 0.5972 | 145 | 1.1283 | 8212784 | |
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| 0.591 | 0.6178 | 150 | 1.1274 | 8498984 | |
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| 0.6697 | 0.6384 | 155 | 1.1224 | 8783480 | |
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| 0.6356 | 0.6589 | 160 | 1.1216 | 9069640 | |
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| 0.6016 | 0.6795 | 165 | 1.1205 | 9358968 | |
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| 0.5734 | 0.7001 | 170 | 1.1175 | 9644264 | |
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| 0.5932 | 0.7207 | 175 | 1.1157 | 9934824 | |
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| 0.5129 | 0.7413 | 180 | 1.1148 | 10221456 | |
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| 0.6567 | 0.7619 | 185 | 1.1130 | 10498184 | |
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| 0.6554 | 0.7825 | 190 | 1.1117 | 10777688 | |
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| 0.5459 | 0.8031 | 195 | 1.1105 | 11062480 | |
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| 0.6166 | 0.8237 | 200 | 1.1069 | 11343448 | |
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| 0.6983 | 0.8443 | 205 | 1.1061 | 11620888 | |
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| 0.5964 | 0.8649 | 210 | 1.1052 | 11908944 | |
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| 0.5881 | 0.8855 | 215 | 1.1031 | 12192472 | |
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| 0.5667 | 0.9060 | 220 | 1.1026 | 12474256 | |
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| 0.5131 | 0.9266 | 225 | 1.1018 | 12762728 | |
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| 0.5854 | 0.9472 | 230 | 1.0999 | 13045696 | |
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| 0.6179 | 0.9678 | 235 | 1.1003 | 13323080 | |
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| 0.5287 | 0.9884 | 240 | 1.0984 | 13609776 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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