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augmented_step_val_25_gemma-2-2b_hs2_iter1_sftsd2
jkazdan/augmented_step_val_25_gemma-2-2b_hs2_iter1_sftsd2
augmented_step_val_25_gemma-2-2b_hs2_iter1_sftsd2 is a machine learning model from jkazdan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- gemma
- Model type
- gemma2
- Access
- Public
- Created
- Sep 25, 2024
- Updated
- Sep 25, 2024
- SHA
- e8d18ef0
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
augmented_step_val_25_gemma-2-2b_hs2_iter1_sftsd2
This model is a fine-tuned version of jkazdan/step_val_25_gemma-2-2b_hs2_iter1_sftsd2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5025
- Num Input Tokens Seen: 7865232
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 | 1.0950 | 0 |
| 1.4558 | 0.0345 | 5 | 1.0942 | 274624 |
| 1.2848 | 0.0690 | 10 | 1.1065 | 546200 |
| 1.0788 | 0.1035 | 15 | 1.1339 | 817584 |
| 0.9149 | 0.1380 | 20 | 1.1915 | 1088176 |
| 0.8855 | 0.1725 | 25 | 1.2506 | 1358336 |
| 0.8151 | 0.2070 | 30 | 1.3419 | 1637992 |
| 0.5913 | 0.2415 | 35 | 1.3767 | 1911376 |
| 0.5641 | 0.2760 | 40 | 1.4619 | 2181176 |
| 0.5135 | 0.3105 | 45 | 1.4701 | 2462856 |
| 0.335 | 0.3450 | 50 | 1.4866 | 2737752 |
| 0.332 | 0.3795 | 55 | 1.5121 | 3012656 |
| 0.3655 | 0.4140 | 60 | 1.4798 | 3279744 |
| 0.249 | 0.4485 | 65 | 1.4564 | 3547808 |
| 0.2495 | 0.4830 | 70 | 1.4986 | 3817328 |
| 0.2821 | 0.5175 | 75 | 1.4208 | 4097184 |
| 0.1291 | 0.5520 | 80 | 1.4710 | 4367848 |
| 0.2026 | 0.5865 | 85 | 1.4296 | 4640592 |
| 0.2365 | 0.6210 | 90 | 1.5041 | 4922032 |
| 0.1523 | 0.6555 | 95 | 1.4437 | 5193088 |
| 0.1677 | 0.6900 | 100 | 1.4660 | 5464864 |
| 0.2233 | 0.7245 | 105 | 1.4473 | 5739032 |
| 0.1273 | 0.7589 | 110 | 1.4308 | 6012736 |
| 0.1756 | 0.7934 | 115 | 1.4913 | 6274808 |
| 0.1822 | 0.8279 | 120 | 1.4676 | 6548312 |
| 0.1255 | 0.8624 | 125 | 1.4698 | 6821112 |
| 0.1072 | 0.8969 | 130 | 1.4484 | 7098736 |
| 0.1329 | 0.9314 | 135 | 1.4401 | 7369552 |
| 0.104 | 0.9659 | 140 | 1.4771 | 7640632 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- gemma2
- License
- gemma
- Created
- Sep 25, 2024
- Updated
- Sep 25, 2024