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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_iter10_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_replace_iter10_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: 2.6482
- Num Input Tokens Seen: 7747456
## 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 | 1.3956 | 0 |
| 1.6727 | 0.0315 | 5 | 1.3102 | 246184 |
| 1.009 | 0.0630 | 10 | 1.2543 | 489448 |
| 0.667 | 0.0945 | 15 | 1.3838 | 726824 |
| 0.4294 | 0.1259 | 20 | 1.5708 | 970024 |
| 0.2248 | 0.1574 | 25 | 1.6675 | 1212248 |
| 0.1908 | 0.1889 | 30 | 1.8604 | 1467208 |
| 0.1451 | 0.2204 | 35 | 2.0014 | 1710152 |
| 0.0621 | 0.2519 | 40 | 2.1971 | 1954192 |
| 0.0381 | 0.2834 | 45 | 2.3063 | 2191576 |
| 0.0367 | 0.3148 | 50 | 2.3949 | 2433592 |
| 0.036 | 0.3463 | 55 | 2.4774 | 2679696 |
| 0.0294 | 0.3778 | 60 | 2.5588 | 2928552 |
| 0.0283 | 0.4093 | 65 | 2.5792 | 3173464 |
| 0.0285 | 0.4408 | 70 | 2.6130 | 3413776 |
| 0.0246 | 0.4723 | 75 | 2.6031 | 3659144 |
| 0.0239 | 0.5037 | 80 | 2.6188 | 3912088 |
| 0.023 | 0.5352 | 85 | 2.6231 | 4148400 |
| 0.0251 | 0.5667 | 90 | 2.5840 | 4398984 |
| 0.0236 | 0.5982 | 95 | 2.5662 | 4651040 |
| 0.0264 | 0.6297 | 100 | 2.5629 | 4894920 |
| 0.0243 | 0.6612 | 105 | 2.5727 | 5137152 |
| 0.0256 | 0.6926 | 110 | 2.5955 | 5378304 |
| 0.0235 | 0.7241 | 115 | 2.6078 | 5624672 |
| 0.0242 | 0.7556 | 120 | 2.6111 | 5877704 |
| 0.024 | 0.7871 | 125 | 2.6151 | 6124640 |
| 0.0265 | 0.8186 | 130 | 2.6286 | 6367576 |
| 0.0224 | 0.8501 | 135 | 2.6392 | 6614328 |
| 0.0242 | 0.8815 | 140 | 2.6356 | 6856504 |
| 0.023 | 0.9130 | 145 | 2.6439 | 7105832 |
| 0.0238 | 0.9445 | 150 | 2.6567 | 7354200 |
| 0.0244 | 0.9760 | 155 | 2.6456 | 7601504 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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