Commit
•
cf7df23
1
Parent(s):
a0961b1
Model save
Browse files- README.md +78 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +450 -0
README.md
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---
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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library_name: peft
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license: llama3.1
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Llama-31-8B_task-3_60-samples_config-1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Llama-31-8B_task-3_60-samples_config-1
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7500
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 2.4269 | 0.8696 | 5 | 2.3330 |
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| 1.8916 | 1.9130 | 11 | 1.4686 |
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| 0.8252 | 2.9565 | 17 | 0.6677 |
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| 0.4209 | 4.0 | 23 | 0.4862 |
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| 0.332 | 4.8696 | 28 | 0.4469 |
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| 0.2549 | 5.9130 | 34 | 0.4227 |
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| 0.2452 | 6.9565 | 40 | 0.4035 |
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| 0.3307 | 8.0 | 46 | 0.4229 |
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| 0.2278 | 8.8696 | 51 | 0.4286 |
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| 0.1552 | 9.9130 | 57 | 0.5084 |
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| 0.0554 | 10.9565 | 63 | 0.5310 |
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| 0.0343 | 12.0 | 69 | 0.7842 |
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| 0.0154 | 12.8696 | 74 | 0.7040 |
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| 0.0048 | 13.9130 | 80 | 0.7500 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 167832240
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ddc489daa4212a0291649a3a3b94b6aef66395827154b8750f21e3481c9634b
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size 167832240
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all_results.json
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{
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"epoch": 13.91304347826087,
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"total_flos": 5.102621398820454e+16,
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"train_loss": 0.5529784421203658,
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"train_runtime": 1886.9381,
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"train_samples": 46,
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"train_samples_per_second": 1.219,
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"train_steps_per_second": 0.132
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}
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train_results.json
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{
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"epoch": 13.91304347826087,
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"total_flos": 5.102621398820454e+16,
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"train_loss": 0.5529784421203658,
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"train_runtime": 1886.9381,
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"train_samples": 46,
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"train_samples_per_second": 1.219,
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"train_steps_per_second": 0.132
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}
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trainer_state.json
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{
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"best_metric": 0.4035477638244629,
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| 3 |
+
"best_model_checkpoint": "data/Llama-31-8B_task-3_60-samples_config-1/checkpoint-40",
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| 4 |
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"epoch": 13.91304347826087,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 80,
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| 7 |
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"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
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| 11 |
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{
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| 12 |
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"epoch": 0.17391304347826086,
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| 13 |
+
"grad_norm": 3.8314883708953857,
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| 14 |
+
"learning_rate": 4.000000000000001e-06,
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| 15 |
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"loss": 2.9855,
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| 16 |
+
"step": 1
|
| 17 |
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},
|
| 18 |
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{
|
| 19 |
+
"epoch": 0.34782608695652173,
|
| 20 |
+
"grad_norm": 1.8149137496948242,
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| 21 |
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"learning_rate": 8.000000000000001e-06,
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| 22 |
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"loss": 2.0019,
|
| 23 |
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"step": 2
|
| 24 |
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},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.6956521739130435,
|
| 27 |
+
"grad_norm": 2.153667449951172,
|
| 28 |
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"learning_rate": 1.6000000000000003e-05,
|
| 29 |
+
"loss": 2.4269,
|
| 30 |
+
"step": 4
|
| 31 |
+
},
|
| 32 |
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{
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