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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_accumulatesubsample_iter12_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_accumulatesubsample_iter12_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: 1.1920
- Num Input Tokens Seen: 5011248
## 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 | 1.3909 | 0 |
| 1.3649 | 0.0529 | 5 | 1.2745 | 267096 |
| 1.1224 | 0.1058 | 10 | 1.2058 | 530288 |
| 0.9974 | 0.1587 | 15 | 1.2049 | 800248 |
| 0.8189 | 0.2116 | 20 | 1.2372 | 1058320 |
| 0.7833 | 0.2646 | 25 | 1.2189 | 1325704 |
| 0.6665 | 0.3175 | 30 | 1.2693 | 1584760 |
| 0.5681 | 0.3704 | 35 | 1.2443 | 1856304 |
| 0.5335 | 0.4233 | 40 | 1.2355 | 2125480 |
| 0.5541 | 0.4762 | 45 | 1.2238 | 2393968 |
| 0.4262 | 0.5291 | 50 | 1.2276 | 2656976 |
| 0.4628 | 0.5820 | 55 | 1.2021 | 2920640 |
| 0.3494 | 0.6349 | 60 | 1.2094 | 3190360 |
| 0.4511 | 0.6878 | 65 | 1.1954 | 3457336 |
| 0.3678 | 0.7407 | 70 | 1.1997 | 3727624 |
| 0.4241 | 0.7937 | 75 | 1.1929 | 3995904 |
| 0.3534 | 0.8466 | 80 | 1.1951 | 4259976 |
| 0.3476 | 0.8995 | 85 | 1.1903 | 4524480 |
| 0.4014 | 0.9524 | 90 | 1.1970 | 4798896 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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