File size: 2,782 Bytes
1d67f24 |
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 |
---
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter2_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-2-27b_hs2_replace_iter2_sftsd2
This model is a fine-tuned version of [google/gemma-2-27b](https://huggingface.co/google/gemma-2-27b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2781
- Num Input Tokens Seen: 3603012
## 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: 4
- eval_batch_size: 16
- seed: 2
- gradient_accumulation_steps: 32
- 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 | 1.1282 | 0 |
| 2.7288 | 0.0560 | 5 | 1.0428 | 210528 |
| 2.2631 | 0.1121 | 10 | 1.0614 | 409500 |
| 1.7035 | 0.1681 | 15 | 1.0857 | 615964 |
| 1.0224 | 0.2242 | 20 | 1.1604 | 820452 |
| 0.7612 | 0.2802 | 25 | 1.1895 | 1018848 |
| 0.5972 | 0.3363 | 30 | 1.1930 | 1215560 |
| 0.6178 | 0.3923 | 35 | 1.1725 | 1409568 |
| 0.4143 | 0.4483 | 40 | 1.1575 | 1608480 |
| 0.5734 | 0.5044 | 45 | 1.1651 | 1812632 |
| 0.4687 | 0.5604 | 50 | 1.1621 | 2009960 |
| 0.6309 | 0.6165 | 55 | 1.1799 | 2223316 |
| 0.5393 | 0.6725 | 60 | 1.1957 | 2428084 |
| 0.271 | 0.7285 | 65 | 1.2141 | 2637248 |
| 0.4383 | 0.7846 | 70 | 1.2308 | 2837024 |
| 0.2703 | 0.8406 | 75 | 1.2080 | 3032684 |
| 0.3999 | 0.8967 | 80 | 1.2440 | 3240344 |
| 0.3003 | 0.9527 | 85 | 1.2357 | 3443968 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|