File size: 2,806 Bytes
3dc9d35 325ea30 3dc9d35 325ea30 |
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 84 85 86 87 88 89 |
---
library_name: transformers
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama_1b_step2_batch_v3
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. -->
# llama_1b_step2_batch_v3
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3241
## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.174 | 0.0682 | 50 | 1.1018 |
| 0.8332 | 0.1363 | 100 | 0.8992 |
| 0.6499 | 0.2045 | 150 | 0.7669 |
| 0.823 | 0.2727 | 200 | 0.6721 |
| 0.6367 | 0.3408 | 250 | 0.6062 |
| 0.7465 | 0.4090 | 300 | 0.5634 |
| 0.3689 | 0.4772 | 350 | 0.5195 |
| 0.4012 | 0.5453 | 400 | 0.4824 |
| 0.3911 | 0.6135 | 450 | 0.4470 |
| 0.4325 | 0.6817 | 500 | 0.4248 |
| 0.338 | 0.7498 | 550 | 0.4069 |
| 0.3274 | 0.8180 | 600 | 0.3879 |
| 0.3937 | 0.8862 | 650 | 0.3740 |
| 0.2884 | 0.9543 | 700 | 0.3620 |
| 0.2069 | 1.0225 | 750 | 0.3641 |
| 0.1866 | 1.0907 | 800 | 0.3545 |
| 0.2269 | 1.1588 | 850 | 0.3532 |
| 0.2287 | 1.2270 | 900 | 0.3479 |
| 0.2592 | 1.2952 | 950 | 0.3415 |
| 0.191 | 1.3633 | 1000 | 0.3361 |
| 0.2337 | 1.4315 | 1050 | 0.3346 |
| 0.2271 | 1.4997 | 1100 | 0.3321 |
| 0.2411 | 1.5678 | 1150 | 0.3279 |
| 0.2503 | 1.6360 | 1200 | 0.3271 |
| 0.2475 | 1.7042 | 1250 | 0.3259 |
| 0.191 | 1.7723 | 1300 | 0.3254 |
| 0.1946 | 1.8405 | 1350 | 0.3246 |
| 0.2598 | 1.9087 | 1400 | 0.3242 |
| 0.157 | 1.9768 | 1450 | 0.3241 |
### Framework versions
- Transformers 4.46.0
- Pytorch 2.1.0+cu118
- Datasets 3.0.2
- Tokenizers 0.20.1
|