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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_iter11_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_iter11_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: 1.2001
- Num Input Tokens Seen: 5006560
## 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 |
| 1.3681 | 0.0533 | 5 | 1.2755 | 261848 |
| 1.118 | 0.1065 | 10 | 1.2036 | 531488 |
| 1.0328 | 0.1598 | 15 | 1.1938 | 805024 |
| 0.9333 | 0.2130 | 20 | 1.2164 | 1075696 |
| 0.8818 | 0.2663 | 25 | 1.2197 | 1343520 |
| 0.8052 | 0.3196 | 30 | 1.2471 | 1613144 |
| 0.6982 | 0.3728 | 35 | 1.2279 | 1880416 |
| 0.6596 | 0.4261 | 40 | 1.2155 | 2153872 |
| 0.6369 | 0.4794 | 45 | 1.2117 | 2422304 |
| 0.4371 | 0.5326 | 50 | 1.2172 | 2694960 |
| 0.43 | 0.5859 | 55 | 1.2114 | 2956912 |
| 0.5446 | 0.6391 | 60 | 1.2153 | 3230368 |
| 0.5092 | 0.6924 | 65 | 1.2052 | 3504768 |
| 0.4249 | 0.7457 | 70 | 1.2069 | 3771264 |
| 0.4894 | 0.7989 | 75 | 1.2033 | 4044656 |
| 0.6736 | 0.8522 | 80 | 1.2046 | 4314136 |
| 0.5114 | 0.9055 | 85 | 1.1947 | 4586208 |
| 0.3609 | 0.9587 | 90 | 1.2142 | 4850112 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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