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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_iter6_sftsd2 |
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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_iter6_sftsd2 |
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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: 2.3509 |
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- Num Input Tokens Seen: 4891248 |
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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: 2 |
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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 | 1.3909 | 0 | |
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| 1.6111 | 0.0511 | 5 | 1.2746 | 256472 | |
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| 0.9464 | 0.1022 | 10 | 1.2781 | 505824 | |
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| 0.5045 | 0.1534 | 15 | 1.5132 | 755440 | |
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| 0.2581 | 0.2045 | 20 | 1.7434 | 1005848 | |
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| 0.1646 | 0.2556 | 25 | 1.9292 | 1255320 | |
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| 0.0521 | 0.3067 | 30 | 2.1045 | 1503448 | |
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| 0.0656 | 0.3578 | 35 | 2.2305 | 1753944 | |
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| 0.0534 | 0.4089 | 40 | 2.3242 | 2008656 | |
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| 0.0296 | 0.4601 | 45 | 2.3765 | 2257912 | |
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| 0.0334 | 0.5112 | 50 | 2.3208 | 2511848 | |
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| 0.0325 | 0.5623 | 55 | 2.2550 | 2768424 | |
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| 0.0526 | 0.6134 | 60 | 2.2720 | 3026208 | |
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| 0.0252 | 0.6645 | 65 | 2.2846 | 3281624 | |
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| 0.0247 | 0.7157 | 70 | 2.2932 | 3536472 | |
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| 0.0241 | 0.7668 | 75 | 2.3163 | 3787728 | |
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| 0.0238 | 0.8179 | 80 | 2.3276 | 4041280 | |
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| 0.0228 | 0.8690 | 85 | 2.3375 | 4291440 | |
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| 0.0234 | 0.9201 | 90 | 2.3306 | 4542072 | |
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| 0.0243 | 0.9712 | 95 | 2.3427 | 4793768 | |
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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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