Commit
•
66dba0f
1
Parent(s):
45a679b
Model save
Browse files- README.md +69 -0
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +3111 -0
README.md
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| 1 |
+
---
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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: induction-20k-100seeds-barc-llama3.1-8b-instruct-lora64-induction-gpt4omini_lr2e-4_epoch3
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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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# induction-20k-100seeds-barc-llama3.1-8b-instruct-lora64-induction-gpt4omini_lr2e-4_epoch3
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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: 0.3362
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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: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 4
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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: 32
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.3614 | 0.9966 | 145 | 0.3568 |
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| 0.3258 | 2.0 | 291 | 0.3392 |
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| 0.3019 | 2.9897 | 435 | 0.3362 |
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### Framework versions
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- PEFT 0.13.0
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- Transformers 4.45.0.dev0
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- Pytorch 2.4.0+cu121
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 2.9896907216494846,
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"total_flos": 1.566236469816197e+17,
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"train_loss": 0.3695115421695271,
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"train_runtime": 4901.7941,
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"train_samples": 18598,
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"train_samples_per_second": 11.382,
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"train_steps_per_second": 0.089
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}
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train_results.json
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{
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"epoch": 2.9896907216494846,
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"total_flos": 1.566236469816197e+17,
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"train_loss": 0.3695115421695271,
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"train_runtime": 4901.7941,
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"train_samples": 18598,
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"train_samples_per_second": 11.382,
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"train_steps_per_second": 0.089
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}
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trainer_state.json
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