Model save
Browse files- README.md +78 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- runs/Aug10_01-50-35_e8f6cb577ded/events.out.tfevents.1723254790.e8f6cb577ded.87185.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +2019 -0
README.md
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| 1 |
+
---
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base_model: meta-llama/Meta-Llama-3-8B
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datasets:
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- generator
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library_name: peft
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license: llama3
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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: llama3-8b-coding-gpt4o-100k
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results: []
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---
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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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# llama3-8b-coding-gpt4o-100k
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5174
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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: 0.002
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 64
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 59 |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.4861 | 1.0 | 135 | 1.2495 |
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| 61 |
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| 0.458 | 2.0 | 270 | 1.2390 |
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| 0.4423 | 3.0 | 405 | 1.2549 |
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| 0.4244 | 4.0 | 540 | 1.2665 |
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| 0.4051 | 5.0 | 675 | 1.2714 |
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| 0.3815 | 6.0 | 810 | 1.2959 |
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| 0.3546 | 7.0 | 945 | 1.3560 |
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| 0.3233 | 8.0 | 1080 | 1.4125 |
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| 0.2969 | 9.0 | 1215 | 1.4809 |
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| 0.2818 | 10.0 | 1350 | 1.5174 |
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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 2.2.0+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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size 2155922488
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version https://git-lfs.github.com/spec/v1
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oid sha256:8917d4c48cb421134d8fee0d433f26f32d32dfd62fc4729fb61364bcc2fe2ae5
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size 2155922488
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all_results.json
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{
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"epoch": 10.0,
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"total_flos": 7.982333171800736e+18,
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"train_loss": 0.3983345487382677,
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"train_runtime": 11606.8402,
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| 6 |
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"train_samples": 116368,
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| 7 |
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"train_samples_per_second": 14.865,
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"train_steps_per_second": 0.116
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}
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runs/Aug10_01-50-35_e8f6cb577ded/events.out.tfevents.1723254790.e8f6cb577ded.87185.0
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version https://git-lfs.github.com/spec/v1
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-
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size
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version https://git-lfs.github.com/spec/v1
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size 66109
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train_results.json
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{
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"epoch": 10.0,
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"total_flos": 7.982333171800736e+18,
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"train_loss": 0.3983345487382677,
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"train_runtime": 11606.8402,
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| 6 |
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"train_samples": 116368,
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"train_samples_per_second": 14.865,
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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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"num_train_epochs": 10,
|
| 2002 |
+
"save_steps": 100,
|
| 2003 |
+
"stateful_callbacks": {
|
| 2004 |
+
"TrainerControl": {
|
| 2005 |
+
"args": {
|
| 2006 |
+
"should_epoch_stop": false,
|
| 2007 |
+
"should_evaluate": false,
|
| 2008 |
+
"should_log": false,
|
| 2009 |
+
"should_save": true,
|
| 2010 |
+
"should_training_stop": true
|
| 2011 |
+
},
|
| 2012 |
+
"attributes": {}
|
| 2013 |
+
}
|
| 2014 |
+
},
|
| 2015 |
+
"total_flos": 7.982333171800736e+18,
|
| 2016 |
+
"train_batch_size": 8,
|
| 2017 |
+
"trial_name": null,
|
| 2018 |
+
"trial_params": null
|
| 2019 |
+
}
|