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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_iter2_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_iter2_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: 1.4692
- Num Input Tokens Seen: 8037456
## 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 |
| 1.6452 | 0.0346 | 5 | 1.3058 | 278656 |
| 1.3928 | 0.0692 | 10 | 1.2047 | 558136 |
| 1.3648 | 0.1038 | 15 | 1.1749 | 828560 |
| 1.1606 | 0.1383 | 20 | 1.1904 | 1108192 |
| 0.9722 | 0.1729 | 25 | 1.2270 | 1388824 |
| 0.8185 | 0.2075 | 30 | 1.3096 | 1665952 |
| 0.6731 | 0.2421 | 35 | 1.3850 | 1950056 |
| 0.5466 | 0.2767 | 40 | 1.4228 | 2228112 |
| 0.4882 | 0.3113 | 45 | 1.5026 | 2510296 |
| 0.4421 | 0.3459 | 50 | 1.4879 | 2795248 |
| 0.3396 | 0.3805 | 55 | 1.4673 | 3079696 |
| 0.2269 | 0.4150 | 60 | 1.5111 | 3363824 |
| 0.2738 | 0.4496 | 65 | 1.4618 | 3641232 |
| 0.3523 | 0.4842 | 70 | 1.4619 | 3912784 |
| 0.2859 | 0.5188 | 75 | 1.4459 | 4191336 |
| 0.1768 | 0.5534 | 80 | 1.4447 | 4471320 |
| 0.1786 | 0.5880 | 85 | 1.4194 | 4751488 |
| 0.1399 | 0.6226 | 90 | 1.4671 | 5027576 |
| 0.1653 | 0.6572 | 95 | 1.4218 | 5303728 |
| 0.1802 | 0.6917 | 100 | 1.4062 | 5582944 |
| 0.1076 | 0.7263 | 105 | 1.4140 | 5859696 |
| 0.16 | 0.7609 | 110 | 1.4109 | 6130248 |
| 0.0994 | 0.7955 | 115 | 1.4027 | 6409520 |
| 0.0925 | 0.8301 | 120 | 1.4232 | 6691040 |
| 0.114 | 0.8647 | 125 | 1.4581 | 6969344 |
| 0.1758 | 0.8993 | 130 | 1.4161 | 7248104 |
| 0.0975 | 0.9339 | 135 | 1.4421 | 7526360 |
| 0.1121 | 0.9684 | 140 | 1.4560 | 7808664 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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