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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_iter3_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_iter3_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: 1.8911
- Num Input Tokens Seen: 8330720
## 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 |
| 1.4905 | 0.0322 | 5 | 1.3077 | 270832 |
| 1.2602 | 0.0643 | 10 | 1.2233 | 538040 |
| 1.1284 | 0.0965 | 15 | 1.2281 | 810568 |
| 0.7483 | 0.1287 | 20 | 1.2969 | 1081856 |
| 0.6342 | 0.1608 | 25 | 1.4400 | 1347624 |
| 0.4624 | 0.1930 | 30 | 1.6103 | 1613304 |
| 0.3721 | 0.2252 | 35 | 1.7194 | 1880416 |
| 0.2581 | 0.2573 | 40 | 1.7768 | 2149880 |
| 0.1611 | 0.2895 | 45 | 1.8426 | 2416712 |
| 0.1031 | 0.3217 | 50 | 1.9013 | 2681168 |
| 0.1092 | 0.3538 | 55 | 1.9516 | 2946912 |
| 0.1202 | 0.3860 | 60 | 1.9557 | 3214960 |
| 0.0956 | 0.4182 | 65 | 1.9342 | 3484184 |
| 0.0726 | 0.4503 | 70 | 1.8705 | 3756200 |
| 0.0687 | 0.4825 | 75 | 1.8882 | 4021312 |
| 0.0399 | 0.5147 | 80 | 1.8351 | 4291144 |
| 0.0562 | 0.5468 | 85 | 1.8887 | 4554544 |
| 0.0621 | 0.5790 | 90 | 1.8666 | 4829952 |
| 0.0416 | 0.6112 | 95 | 1.7668 | 5092984 |
| 0.0435 | 0.6433 | 100 | 1.8431 | 5361048 |
| 0.0669 | 0.6755 | 105 | 1.8500 | 5629424 |
| 0.064 | 0.7077 | 110 | 1.7670 | 5901224 |
| 0.0491 | 0.7398 | 115 | 1.7368 | 6163240 |
| 0.0455 | 0.7720 | 120 | 1.8418 | 6432208 |
| 0.0378 | 0.8042 | 125 | 1.8950 | 6704256 |
| 0.0423 | 0.8363 | 130 | 1.8546 | 6975512 |
| 0.08 | 0.8685 | 135 | 1.8218 | 7243344 |
| 0.061 | 0.9007 | 140 | 1.8678 | 7510512 |
| 0.0408 | 0.9329 | 145 | 1.9605 | 7787288 |
| 0.0359 | 0.9650 | 150 | 1.9672 | 8053856 |
| 0.0587 | 0.9972 | 155 | 1.8911 | 8330720 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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