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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_iter10_sftsd2
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_iter10_sftsd2
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: 1.1964
- Num Input Tokens Seen: 4977584
## 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: 2
- 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 |
| 1.2728 | 0.0533 | 5 | 1.2766 | 266944 |
| 1.0944 | 0.1067 | 10 | 1.2041 | 528504 |
| 1.061 | 0.16 | 15 | 1.1908 | 790952 |
| 0.9567 | 0.2133 | 20 | 1.2032 | 1063680 |
| 0.7259 | 0.2667 | 25 | 1.2107 | 1330032 |
| 0.7803 | 0.32 | 30 | 1.2163 | 1602016 |
| 0.7025 | 0.3733 | 35 | 1.2305 | 1868424 |
| 0.7138 | 0.4267 | 40 | 1.2162 | 2141336 |
| 0.6717 | 0.48 | 45 | 1.2232 | 2412000 |
| 0.5593 | 0.5333 | 50 | 1.2079 | 2679920 |
| 0.5536 | 0.5867 | 55 | 1.2070 | 2946904 |
| 0.562 | 0.64 | 60 | 1.2054 | 3215776 |
| 0.4965 | 0.6933 | 65 | 1.2006 | 3479152 |
| 0.5015 | 0.7467 | 70 | 1.2018 | 3746592 |
| 0.4981 | 0.8 | 75 | 1.1892 | 4015920 |
| 0.5343 | 0.8533 | 80 | 1.1997 | 4286352 |
| 0.4309 | 0.9067 | 85 | 1.2070 | 4550912 |
| 0.5186 | 0.96 | 90 | 1.1959 | 4816776 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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