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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_replace_iter9_sftsd1
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_replace_iter9_sftsd1
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: 2.6634
- Num Input Tokens Seen: 8155608
## 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: 1
- 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 | 1.3956 | 0 |
| 1.5468 | 0.0315 | 5 | 1.3110 | 253928 |
| 1.182 | 0.0630 | 10 | 1.2480 | 514960 |
| 0.8084 | 0.0945 | 15 | 1.3189 | 773760 |
| 0.6416 | 0.1259 | 20 | 1.4974 | 1041648 |
| 0.3966 | 0.1574 | 25 | 1.6165 | 1307976 |
| 0.2039 | 0.1889 | 30 | 1.8225 | 1565976 |
| 0.1576 | 0.2204 | 35 | 1.9499 | 1822872 |
| 0.0829 | 0.2519 | 40 | 2.1969 | 2080200 |
| 0.0476 | 0.2834 | 45 | 2.3565 | 2335552 |
| 0.0338 | 0.3148 | 50 | 2.4119 | 2590880 |
| 0.0303 | 0.3463 | 55 | 2.5071 | 2851232 |
| 0.0381 | 0.3778 | 60 | 2.5463 | 3110576 |
| 0.0307 | 0.4093 | 65 | 2.5668 | 3369800 |
| 0.0279 | 0.4408 | 70 | 2.5711 | 3630600 |
| 0.0262 | 0.4723 | 75 | 2.6104 | 3884416 |
| 0.0284 | 0.5037 | 80 | 2.6201 | 4140232 |
| 0.0265 | 0.5352 | 85 | 2.6255 | 4390344 |
| 0.0265 | 0.5667 | 90 | 2.6473 | 4646944 |
| 0.0288 | 0.5982 | 95 | 2.6452 | 4907960 |
| 0.0242 | 0.6297 | 100 | 2.6281 | 5157432 |
| 0.0235 | 0.6612 | 105 | 2.6248 | 5417680 |
| 0.0256 | 0.6926 | 110 | 2.6399 | 5680504 |
| 0.0224 | 0.7241 | 115 | 2.6534 | 5934288 |
| 0.0246 | 0.7556 | 120 | 2.6607 | 6188664 |
| 0.0313 | 0.7871 | 125 | 2.6628 | 6444560 |
| 0.0252 | 0.8186 | 130 | 2.6540 | 6702464 |
| 0.0258 | 0.8501 | 135 | 2.6528 | 6962424 |
| 0.0276 | 0.8815 | 140 | 2.6468 | 7217352 |
| 0.0245 | 0.9130 | 145 | 2.6580 | 7472288 |
| 0.025 | 0.9445 | 150 | 2.6685 | 7739408 |
| 0.0285 | 0.9760 | 155 | 2.6733 | 8001312 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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