Model save
Browse files- README.md +73 -0
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +2214 -0
README.md
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| 1 |
+
---
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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: meta-llama/Meta-Llama-3-8B-Instruct
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model-index:
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- name: Meta-Llama-3-8B-Instruct-miracl-raft-sft-v2.0
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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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# Meta-Llama-3-8B-Instruct-miracl-raft-sft-v2.0
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4193
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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: 1e-05
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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: 4
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- total_train_batch_size: 32
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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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| 1.5961 | 0.1316 | 200 | 1.4755 |
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| 1.6583 | 0.2633 | 400 | 1.4443 |
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| 1.5272 | 0.3949 | 600 | 1.4324 |
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| 1.5215 | 0.5266 | 800 | 1.4255 |
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| 1.4857 | 0.6582 | 1000 | 1.4218 |
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| 1.5324 | 0.7899 | 1200 | 1.4199 |
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| 1.5235 | 0.9215 | 1400 | 1.4193 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9998354451209478,
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"total_flos": 2663384493981696.0,
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"train_loss": 1.5419490562605969,
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"train_runtime": 69992.3236,
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"train_samples": 48610,
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"train_samples_per_second": 0.695,
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"train_steps_per_second": 0.022
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}
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train_results.json
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{
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"epoch": 0.9998354451209478,
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"total_flos": 2663384493981696.0,
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"train_loss": 1.5419490562605969,
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"train_runtime": 69992.3236,
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"train_samples": 48610,
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"train_samples_per_second": 0.695,
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"train_steps_per_second": 0.022
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}
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trainer_state.json
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