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---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: gemma-2-2b_hs2_iter1_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. -->
# gemma-2-2b_hs2_iter1_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: 1.4676
- Num Input Tokens Seen: 8712000
## 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_steps: 16
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log | 0 | 0 | 1.3956 | 0 |
| 1.7677 | 0.0320 | 5 | 1.3656 | 271360 |
| 1.5854 | 0.0639 | 10 | 1.2596 | 545792 |
| 1.4739 | 0.0959 | 15 | 1.1954 | 825128 |
| 1.2857 | 0.1279 | 20 | 1.1738 | 1108408 |
| 1.184 | 0.1599 | 25 | 1.1751 | 1388256 |
| 0.9207 | 0.1918 | 30 | 1.2445 | 1667528 |
| 0.8665 | 0.2238 | 35 | 1.2921 | 1949712 |
| 0.7163 | 0.2558 | 40 | 1.4105 | 2223872 |
| 0.5853 | 0.2878 | 45 | 1.4211 | 2497184 |
| 0.5139 | 0.3197 | 50 | 1.5440 | 2777320 |
| 0.4299 | 0.3517 | 55 | 1.5069 | 3057528 |
| 0.3458 | 0.3837 | 60 | 1.5679 | 3331488 |
| 0.2913 | 0.4157 | 65 | 1.5084 | 3611304 |
| 0.2654 | 0.4476 | 70 | 1.5051 | 3897800 |
| 0.2249 | 0.4796 | 75 | 1.5396 | 4174176 |
| 0.3085 | 0.5116 | 80 | 1.5069 | 4450528 |
| 0.1601 | 0.5436 | 85 | 1.5507 | 4732680 |
| 0.1126 | 0.5755 | 90 | 1.4520 | 5015288 |
| 0.1922 | 0.6075 | 95 | 1.4548 | 5296336 |
| 0.1709 | 0.6395 | 100 | 1.4422 | 5578672 |
| 0.1558 | 0.6715 | 105 | 1.4477 | 5860328 |
| 0.0981 | 0.7034 | 110 | 1.4791 | 6141568 |
| 0.1635 | 0.7354 | 115 | 1.4351 | 6424480 |
| 0.1061 | 0.7674 | 120 | 1.4498 | 6706048 |
| 0.159 | 0.7994 | 125 | 1.4220 | 6990040 |
| 0.0759 | 0.8313 | 130 | 1.4819 | 7264776 |
| 0.0897 | 0.8633 | 135 | 1.4187 | 7543304 |
| 0.1316 | 0.8953 | 140 | 1.4371 | 7823792 |
| 0.1955 | 0.9273 | 145 | 1.4277 | 8101728 |
| 0.1215 | 0.9592 | 150 | 1.4345 | 8378768 |
| 0.1174 | 0.9912 | 155 | 1.4765 | 8659448 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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