Model save
Browse files
README.md
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+
---
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license: other
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library_name: peft
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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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base_model: Undi95/Meta-Llama-3-8B-hf
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model-index:
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- name: llama3-poison-20p
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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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# llama3-poison-20p
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This model is a fine-tuned version of [Undi95/Meta-Llama-3-8B-hf](https://huggingface.co/Undi95/Meta-Llama-3-8B-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- total_eval_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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0 | 1.0 | 1350 | nan |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.39.0.dev0
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- Pytorch 2.2.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.0,
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"train_runtime": 23143.2556,
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"train_samples": 21594,
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"train_samples_per_second": 0.933,
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"train_steps_per_second": 0.058
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}
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runs/Apr29_05-12-15_ip-172-31-69-60.ec2.internal/events.out.tfevents.1714367558.ip-172-31-69-60.ec2.internal.33385.0
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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oid sha256:981f3eee361ac24c2c61cf4373359595bed95f19cda196b7b4decdf7c07c97c8
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size 62438
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.0,
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"train_runtime": 23143.2556,
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"train_samples": 21594,
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"train_samples_per_second": 0.933,
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"train_steps_per_second": 0.058
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}
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trainer_state.json
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