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---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter10_sftsd1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# collapse_gemma-2-2b_hs2_replace_iter10_sftsd1
This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6696
- Num Input Tokens Seen: 8069592
## 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: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 1
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log | 0 | 0 | 1.3956 | 0 |
| 1.6377 | 0.0316 | 5 | 1.3108 | 263072 |
| 1.1505 | 0.0632 | 10 | 1.2446 | 517208 |
| 0.7821 | 0.0947 | 15 | 1.3348 | 769888 |
| 0.5 | 0.1263 | 20 | 1.5482 | 1037144 |
| 0.2735 | 0.1579 | 25 | 1.6972 | 1289920 |
| 0.1577 | 0.1895 | 30 | 1.8590 | 1549584 |
| 0.1591 | 0.2211 | 35 | 2.0535 | 1806400 |
| 0.0789 | 0.2527 | 40 | 2.2425 | 2074288 |
| 0.0452 | 0.2842 | 45 | 2.3649 | 2329816 |
| 0.0415 | 0.3158 | 50 | 2.4586 | 2578632 |
| 0.0324 | 0.3474 | 55 | 2.5176 | 2837904 |
| 0.0304 | 0.3790 | 60 | 2.5963 | 3082160 |
| 0.0255 | 0.4106 | 65 | 2.6502 | 3339600 |
| 0.0273 | 0.4422 | 70 | 2.6701 | 3591560 |
| 0.028 | 0.4737 | 75 | 2.6985 | 3840656 |
| 0.0256 | 0.5053 | 80 | 2.6940 | 4100552 |
| 0.027 | 0.5369 | 85 | 2.6789 | 4356792 |
| 0.0266 | 0.5685 | 90 | 2.6323 | 4606856 |
| 0.0276 | 0.6001 | 95 | 2.6233 | 4858464 |
| 0.0273 | 0.6317 | 100 | 2.6164 | 5115304 |
| 0.0256 | 0.6632 | 105 | 2.6240 | 5366024 |
| 0.0266 | 0.6948 | 110 | 2.6399 | 5619944 |
| 0.0271 | 0.7264 | 115 | 2.6708 | 5867752 |
| 0.0253 | 0.7580 | 120 | 2.6610 | 6119896 |
| 0.027 | 0.7896 | 125 | 2.6729 | 6375064 |
| 0.0228 | 0.8212 | 130 | 2.6813 | 6630984 |
| 0.0245 | 0.8527 | 135 | 2.6851 | 6879904 |
| 0.0229 | 0.8843 | 140 | 2.6942 | 7128024 |
| 0.0242 | 0.9159 | 145 | 2.6830 | 7385408 |
| 0.0255 | 0.9475 | 150 | 2.6686 | 7653440 |
| 0.0241 | 0.9791 | 155 | 2.6643 | 7918000 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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