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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_iter18_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_accumulatesubsample_iter18_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: 1.2320
- Num Input Tokens Seen: 4965616
## 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 | 1.3909 | 0 |
| 1.2383 | 0.0535 | 5 | 1.2809 | 261784 |
| 1.0702 | 0.1070 | 10 | 1.2352 | 527160 |
| 0.9047 | 0.1604 | 15 | 1.2298 | 796832 |
| 0.7863 | 0.2139 | 20 | 1.2596 | 1057200 |
| 0.7233 | 0.2674 | 25 | 1.2640 | 1317152 |
| 0.6138 | 0.3209 | 30 | 1.2867 | 1585112 |
| 0.6639 | 0.3743 | 35 | 1.2563 | 1848712 |
| 0.4351 | 0.4278 | 40 | 1.2637 | 2116952 |
| 0.4406 | 0.4813 | 45 | 1.2563 | 2389216 |
| 0.4663 | 0.5348 | 50 | 1.2317 | 2659560 |
| 0.5592 | 0.5882 | 55 | 1.2441 | 2932656 |
| 0.4722 | 0.6417 | 60 | 1.2254 | 3199512 |
| 0.5026 | 0.6952 | 65 | 1.2319 | 3467576 |
| 0.4221 | 0.7487 | 70 | 1.2160 | 3732536 |
| 0.3425 | 0.8021 | 75 | 1.2294 | 4000632 |
| 0.453 | 0.8556 | 80 | 1.2140 | 4266888 |
| 0.4114 | 0.9091 | 85 | 1.2336 | 4531504 |
| 0.4125 | 0.9626 | 90 | 1.2095 | 4801232 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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