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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_iter9_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_iter9_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: 1.1952
- Num Input Tokens Seen: 5025616
## 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 |
| 1.3245 | 0.0534 | 5 | 1.2768 | 275360 |
| 1.1423 | 0.1069 | 10 | 1.2008 | 543560 |
| 0.9748 | 0.1603 | 15 | 1.1848 | 809872 |
| 1.0866 | 0.2138 | 20 | 1.2027 | 1077984 |
| 0.8487 | 0.2672 | 25 | 1.2109 | 1343264 |
| 0.8541 | 0.3206 | 30 | 1.2285 | 1613856 |
| 0.7718 | 0.3741 | 35 | 1.2338 | 1883800 |
| 0.752 | 0.4275 | 40 | 1.2181 | 2154856 |
| 0.6467 | 0.4810 | 45 | 1.2274 | 2428208 |
| 0.5452 | 0.5344 | 50 | 1.2074 | 2695040 |
| 0.5495 | 0.5878 | 55 | 1.2047 | 2970696 |
| 0.5562 | 0.6413 | 60 | 1.2104 | 3245864 |
| 0.5367 | 0.6947 | 65 | 1.1986 | 3512208 |
| 0.4594 | 0.7482 | 70 | 1.1975 | 3784176 |
| 0.5366 | 0.8016 | 75 | 1.1995 | 4052712 |
| 0.3897 | 0.8550 | 80 | 1.1944 | 4323640 |
| 0.4671 | 0.9085 | 85 | 1.1959 | 4591856 |
| 0.4434 | 0.9619 | 90 | 1.1870 | 4864704 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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