Commit
•
0799400
1
Parent(s):
4aa74e9
Model save
Browse files- README.md +77 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +421 -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-2_60-samples_config-1_auto
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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-2_60-samples_config-1_auto
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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: 1.1577
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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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| 0.8547 | 0.8696 | 5 | 0.8787 |
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| 0.8316 | 1.9130 | 11 | 0.7978 |
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| 0.7352 | 2.9565 | 17 | 0.7125 |
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| 0.6096 | 4.0 | 23 | 0.6426 |
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| 0.5369 | 4.8696 | 28 | 0.6110 |
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| 0.4624 | 5.9130 | 34 | 0.5999 |
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| 0.3577 | 6.9565 | 40 | 0.6314 |
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| 0.3027 | 8.0 | 46 | 0.6916 |
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| 0.2146 | 8.8696 | 51 | 0.7509 |
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| 0.1132 | 9.9130 | 57 | 0.9555 |
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| 0.0626 | 10.9565 | 63 | 1.0440 |
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| 0.0376 | 12.0 | 69 | 1.1408 |
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| 0.0262 | 12.8696 | 74 | 1.1577 |
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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:df8b73d33740357a3531fd06687387074db0661e583fe5129862cf277837d43a
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size 167832240
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all_results.json
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{
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"epoch": 12.869565217391305,
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"total_flos": 6.016355399001702e+16,
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"train_loss": 0.40909132293450673,
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"train_runtime": 2152.0328,
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"train_samples": 46,
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"train_samples_per_second": 1.069,
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"train_steps_per_second": 0.116
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}
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train_results.json
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{
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"epoch": 12.869565217391305,
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"total_flos": 6.016355399001702e+16,
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"train_loss": 0.40909132293450673,
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"train_runtime": 2152.0328,
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"train_samples": 46,
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"train_samples_per_second": 1.069,
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"train_steps_per_second": 0.116
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}
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trainer_state.json
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{
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"best_metric": 0.5998861789703369,
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| 3 |
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"best_model_checkpoint": "data/Llama-31-8B_task-2_60-samples_config-1_auto/checkpoint-34",
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| 4 |
+
"epoch": 12.869565217391305,
|
| 5 |
+
"eval_steps": 500,
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| 6 |
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"global_step": 74,
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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": [
|
| 11 |
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{
|
| 12 |
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"epoch": 0.17391304347826086,
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| 13 |
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"grad_norm": 0.42300620675086975,
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| 14 |
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"learning_rate": 4.000000000000001e-06,
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| 15 |
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"loss": 0.824,
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| 16 |
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"step": 1
|
| 17 |
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},
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| 18 |
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{
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| 19 |
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"epoch": 0.34782608695652173,
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| 20 |
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"grad_norm": 0.4288937449455261,
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"learning_rate": 8.000000000000001e-06,
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| 22 |
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"loss": 0.9683,
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"step": 2
|
| 24 |
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},
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| 25 |
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{
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| 26 |
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"epoch": 0.6956521739130435,
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| 27 |
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"grad_norm": 0.3874884247779846,
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| 28 |
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"learning_rate": 1.6000000000000003e-05,
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| 29 |
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"loss": 0.8547,
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| 30 |
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"step": 4
|
| 31 |
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},
|
| 32 |
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{
|
| 33 |
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"epoch": 0.8695652173913043,
|
| 34 |
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"eval_loss": 0.8787198066711426,
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| 35 |
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"eval_runtime": 13.3407,
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| 36 |
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"eval_samples_per_second": 0.9,
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| 37 |
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"eval_steps_per_second": 0.9,
|
| 38 |
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"step": 5
|
| 39 |
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},
|
| 40 |
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{
|
| 41 |
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"epoch": 1.0434782608695652,
|
| 42 |
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"grad_norm": 0.4130929708480835,
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| 43 |
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"learning_rate": 2.4e-05,
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| 44 |
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"loss": 0.873,
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| 45 |
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"step": 6
|
| 46 |
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},
|
| 47 |
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