File size: 2,691 Bytes
45c1f44 |
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: apache-2.0
base_model: PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T
tags:
- generated_from_trainer
model-index:
- name: out
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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# out
This model is a fine-tuned version of [PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T](https://huggingface.co/PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2355
## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.4654 | 0.0 | 1 | 3.5326 |
| 1.2162 | 0.05 | 1503 | 1.9335 |
| 1.1918 | 0.1 | 3006 | 1.7391 |
| 1.4188 | 0.15 | 4509 | 1.7574 |
| 1.8281 | 0.2 | 6012 | 1.6704 |
| 0.8639 | 0.25 | 7515 | 1.7459 |
| 1.3764 | 0.3 | 9018 | 1.6832 |
| 2.1172 | 0.35 | 10521 | 1.6398 |
| 1.1855 | 0.4 | 12024 | 1.6007 |
| 1.5604 | 0.45 | 13527 | 1.5256 |
| 1.0224 | 0.5 | 15030 | 1.4891 |
| 1.5582 | 0.55 | 16533 | 1.4903 |
| 0.9489 | 0.6 | 18036 | 1.4179 |
| 1.67 | 0.65 | 19539 | 1.4585 |
| 0.8542 | 0.7 | 21042 | 1.3810 |
| 1.5301 | 0.75 | 22545 | 1.3645 |
| 0.951 | 0.8 | 24048 | 1.3087 |
| 1.1791 | 0.85 | 25551 | 1.3018 |
| 1.3342 | 0.9 | 27054 | 1.2595 |
| 1.1221 | 0.95 | 28557 | 1.2355 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1
|