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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_iter4_sftsd0
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_iter4_sftsd0
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: 2.1872
- Num Input Tokens Seen: 8213360
## 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: 0
- 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 |
| 1.5456 | 0.0318 | 5 | 1.3070 | 265304 |
| 1.2703 | 0.0636 | 10 | 1.2218 | 523568 |
| 0.9657 | 0.0954 | 15 | 1.2481 | 782936 |
| 0.6809 | 0.1271 | 20 | 1.3512 | 1047016 |
| 0.5361 | 0.1589 | 25 | 1.4749 | 1317216 |
| 0.3923 | 0.1907 | 30 | 1.5943 | 1576968 |
| 0.2609 | 0.2225 | 35 | 1.7244 | 1835720 |
| 0.1476 | 0.2543 | 40 | 1.9387 | 2096288 |
| 0.0973 | 0.2861 | 45 | 2.0971 | 2356272 |
| 0.1096 | 0.3178 | 50 | 2.1618 | 2620648 |
| 0.0651 | 0.3496 | 55 | 2.1722 | 2877880 |
| 0.0528 | 0.3814 | 60 | 2.1908 | 3133480 |
| 0.0455 | 0.4132 | 65 | 2.2489 | 3397968 |
| 0.0474 | 0.4450 | 70 | 2.2538 | 3659672 |
| 0.0919 | 0.4768 | 75 | 2.2320 | 3919344 |
| 0.0311 | 0.5085 | 80 | 2.1670 | 4187912 |
| 0.0319 | 0.5403 | 85 | 2.2046 | 4447608 |
| 0.0278 | 0.5721 | 90 | 2.2165 | 4705488 |
| 0.0284 | 0.6039 | 95 | 2.2048 | 4979080 |
| 0.0549 | 0.6357 | 100 | 2.1651 | 5237472 |
| 0.0319 | 0.6675 | 105 | 2.1267 | 5496736 |
| 0.0304 | 0.6992 | 110 | 2.1044 | 5759232 |
| 0.0274 | 0.7310 | 115 | 2.0821 | 6021968 |
| 0.0307 | 0.7628 | 120 | 2.0860 | 6280048 |
| 0.0297 | 0.7946 | 125 | 2.1247 | 6547056 |
| 0.0283 | 0.8264 | 130 | 2.1514 | 6801816 |
| 0.0295 | 0.8582 | 135 | 2.1703 | 7057840 |
| 0.0326 | 0.8899 | 140 | 2.1964 | 7323848 |
| 0.0283 | 0.9217 | 145 | 2.1959 | 7580872 |
| 0.0439 | 0.9535 | 150 | 2.1948 | 7845552 |
| 0.0282 | 0.9853 | 155 | 2.1853 | 8107432 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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