File size: 2,921 Bytes
20d943f |
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 83 |
---
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter7_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_iter7_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: 2.5502
- Num Input Tokens Seen: 4945256
## 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 |
| 1.4075 | 0.0511 | 5 | 1.2768 | 262544 |
| 0.9592 | 0.1021 | 10 | 1.2490 | 516672 |
| 0.6262 | 0.1532 | 15 | 1.3861 | 768768 |
| 0.4505 | 0.2042 | 20 | 1.5683 | 1029088 |
| 0.2604 | 0.2553 | 25 | 1.7472 | 1282984 |
| 0.1477 | 0.3063 | 30 | 1.9911 | 1535608 |
| 0.072 | 0.3574 | 35 | 2.1880 | 1790128 |
| 0.0485 | 0.4084 | 40 | 2.3094 | 2042896 |
| 0.0376 | 0.4595 | 45 | 2.4429 | 2298696 |
| 0.0293 | 0.5105 | 50 | 2.4744 | 2551432 |
| 0.0301 | 0.5616 | 55 | 2.4918 | 2814520 |
| 0.0241 | 0.6126 | 60 | 2.4981 | 3062952 |
| 0.0233 | 0.6637 | 65 | 2.5132 | 3321896 |
| 0.0241 | 0.7147 | 70 | 2.5177 | 3582960 |
| 0.022 | 0.7658 | 75 | 2.5261 | 3830336 |
| 0.0216 | 0.8168 | 80 | 2.5296 | 4090456 |
| 0.0233 | 0.8679 | 85 | 2.5449 | 4344200 |
| 0.0224 | 0.9190 | 90 | 2.5459 | 4595224 |
| 0.0242 | 0.9700 | 95 | 2.5496 | 4844232 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|