File size: 2,873 Bytes
b9ab131 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 |
---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter6_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_accumulatesubsample_iter6_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: 1.1630
- Num Input Tokens Seen: 5028016
## 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 | 1.3909 | 0 |
| 1.4282 | 0.0533 | 5 | 1.2707 | 272080 |
| 1.0872 | 0.1065 | 10 | 1.1923 | 534176 |
| 1.0069 | 0.1598 | 15 | 1.1791 | 810424 |
| 0.9708 | 0.2130 | 20 | 1.1779 | 1085464 |
| 0.841 | 0.2663 | 25 | 1.1966 | 1354360 |
| 0.7559 | 0.3196 | 30 | 1.2040 | 1626064 |
| 0.726 | 0.3728 | 35 | 1.1940 | 1897496 |
| 0.7034 | 0.4261 | 40 | 1.1953 | 2174648 |
| 0.5682 | 0.4794 | 45 | 1.1947 | 2445704 |
| 0.575 | 0.5326 | 50 | 1.1886 | 2714920 |
| 0.566 | 0.5859 | 55 | 1.1807 | 2982200 |
| 0.5243 | 0.6391 | 60 | 1.1784 | 3246752 |
| 0.5905 | 0.6924 | 65 | 1.1718 | 3518224 |
| 0.473 | 0.7457 | 70 | 1.1766 | 3783208 |
| 0.5029 | 0.7989 | 75 | 1.1662 | 4047576 |
| 0.5819 | 0.8522 | 80 | 1.1747 | 4321368 |
| 0.5147 | 0.9055 | 85 | 1.1620 | 4594208 |
| 0.4796 | 0.9587 | 90 | 1.1722 | 4862792 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|