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---
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter4_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-2-9b_hs2_replace_iter4_sftsd2
This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4790
- Num Input Tokens Seen: 4639036
## 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: 4
- eval_batch_size: 16
- seed: 2
- gradient_accumulation_steps: 32
- 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 | 1.2335 | 0 |
| 1.2061 | 0.0511 | 5 | 1.0694 | 240324 |
| 0.5247 | 0.1022 | 10 | 1.1930 | 482000 |
| 0.2089 | 0.1533 | 15 | 1.3107 | 712380 |
| 0.0939 | 0.2044 | 20 | 1.4465 | 957020 |
| 0.0504 | 0.2555 | 25 | 1.5378 | 1188912 |
| 0.0456 | 0.3066 | 30 | 1.4778 | 1428132 |
| 0.0331 | 0.3577 | 35 | 1.4145 | 1677336 |
| 0.0238 | 0.4088 | 40 | 1.4888 | 1914204 |
| 0.0255 | 0.4599 | 45 | 1.5425 | 2146180 |
| 0.0243 | 0.5110 | 50 | 1.5185 | 2379516 |
| 0.0381 | 0.5621 | 55 | 1.4742 | 2619096 |
| 0.0305 | 0.6132 | 60 | 1.4191 | 2862804 |
| 0.0227 | 0.6643 | 65 | 1.4256 | 3103004 |
| 0.021 | 0.7154 | 70 | 1.4350 | 3346964 |
| 0.0279 | 0.7665 | 75 | 1.4590 | 3587168 |
| 0.0242 | 0.8176 | 80 | 1.5009 | 3830384 |
| 0.0262 | 0.8687 | 85 | 1.4784 | 4068408 |
| 0.0244 | 0.9198 | 90 | 1.4782 | 4308452 |
| 0.0228 | 0.9709 | 95 | 1.4777 | 4542732 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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