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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_replace_iter3_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_replace_iter3_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: 1.8911 |
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- Num Input Tokens Seen: 8330720 |
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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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| 1.4905 | 0.0322 | 5 | 1.3077 | 270832 | |
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| 1.2602 | 0.0643 | 10 | 1.2233 | 538040 | |
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| 1.1284 | 0.0965 | 15 | 1.2281 | 810568 | |
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| 0.7483 | 0.1287 | 20 | 1.2969 | 1081856 | |
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| 0.6342 | 0.1608 | 25 | 1.4400 | 1347624 | |
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| 0.4624 | 0.1930 | 30 | 1.6103 | 1613304 | |
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| 0.3721 | 0.2252 | 35 | 1.7194 | 1880416 | |
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| 0.2581 | 0.2573 | 40 | 1.7768 | 2149880 | |
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| 0.1611 | 0.2895 | 45 | 1.8426 | 2416712 | |
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| 0.1031 | 0.3217 | 50 | 1.9013 | 2681168 | |
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| 0.1092 | 0.3538 | 55 | 1.9516 | 2946912 | |
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| 0.1202 | 0.3860 | 60 | 1.9557 | 3214960 | |
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| 0.0956 | 0.4182 | 65 | 1.9342 | 3484184 | |
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| 0.0726 | 0.4503 | 70 | 1.8705 | 3756200 | |
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| 0.0687 | 0.4825 | 75 | 1.8882 | 4021312 | |
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| 0.0399 | 0.5147 | 80 | 1.8351 | 4291144 | |
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| 0.0562 | 0.5468 | 85 | 1.8887 | 4554544 | |
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| 0.0621 | 0.5790 | 90 | 1.8666 | 4829952 | |
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| 0.0416 | 0.6112 | 95 | 1.7668 | 5092984 | |
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| 0.0435 | 0.6433 | 100 | 1.8431 | 5361048 | |
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| 0.0669 | 0.6755 | 105 | 1.8500 | 5629424 | |
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| 0.064 | 0.7077 | 110 | 1.7670 | 5901224 | |
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| 0.0491 | 0.7398 | 115 | 1.7368 | 6163240 | |
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| 0.0455 | 0.7720 | 120 | 1.8418 | 6432208 | |
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| 0.0378 | 0.8042 | 125 | 1.8950 | 6704256 | |
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| 0.0423 | 0.8363 | 130 | 1.8546 | 6975512 | |
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| 0.08 | 0.8685 | 135 | 1.8218 | 7243344 | |
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| 0.061 | 0.9007 | 140 | 1.8678 | 7510512 | |
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| 0.0408 | 0.9329 | 145 | 1.9605 | 7787288 | |
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| 0.0359 | 0.9650 | 150 | 1.9672 | 8053856 | |
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| 0.0587 | 0.9972 | 155 | 1.8911 | 8330720 | |
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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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