File size: 2,026 Bytes
6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e 6a63a87 f8c4f2e |
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 |
---
library_name: transformers
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama_3b_step2_batch_v5
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_3b_step2_batch_v5
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3275
## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.9071 | 0.1363 | 50 | 0.8211 |
| 0.7063 | 0.2727 | 100 | 0.6140 |
| 0.5548 | 0.4090 | 150 | 0.5100 |
| 0.3776 | 0.5453 | 200 | 0.4445 |
| 0.4611 | 0.6817 | 250 | 0.4011 |
| 0.3701 | 0.8180 | 300 | 0.3742 |
| 0.325 | 0.9543 | 350 | 0.3529 |
| 0.2093 | 1.0913 | 400 | 0.3522 |
| 0.2459 | 1.2277 | 450 | 0.3428 |
| 0.201 | 1.3640 | 500 | 0.3355 |
| 0.2741 | 1.5003 | 550 | 0.3312 |
| 0.2596 | 1.6367 | 600 | 0.3283 |
| 0.2138 | 1.7730 | 650 | 0.3281 |
| 0.2181 | 1.9093 | 700 | 0.3275 |
### Framework versions
- Transformers 4.46.1
- Pytorch 2.1.0+cu118
- Datasets 3.0.2
- Tokenizers 0.20.1
|