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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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- alignment-handbook |
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- trl |
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- sft |
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- generated_from_trainer |
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- trl |
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- sft |
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- generated_from_trainer |
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datasets: |
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- nthakur/miracl-raft-sft-instruct-v0.1 |
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- nthakur/nomiracl-raft-sft-instruct-v0.1 |
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- nthakur/miracl-en-x-raft-sft-instruct-v0.1 |
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- nthakur/miracl-x-en-raft-sft-instruct-v0.1 |
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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-mix-raft-sft-25th-apr-v1.0 |
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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-mix-raft-sft-25th-apr-v1.0 |
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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 the nthakur/miracl-raft-sft-instruct-v0.1, the nthakur/nomiracl-raft-sft-instruct-v0.1, the nthakur/miracl-en-x-raft-sft-instruct-v0.1 and the nthakur/miracl-x-en-raft-sft-instruct-v0.1 datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3064 |
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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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| 1.4903 | 0.09 | 200 | 1.3961 | |
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| 1.465 | 0.18 | 400 | 1.3499 | |
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| 1.4193 | 0.28 | 600 | 1.3330 | |
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| 1.3593 | 0.37 | 800 | 1.3232 | |
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| 1.3552 | 0.46 | 1000 | 1.3166 | |
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| 1.3685 | 0.55 | 1200 | 1.3123 | |
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| 1.3487 | 0.64 | 1400 | 1.3094 | |
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| 1.3891 | 0.74 | 1600 | 1.3076 | |
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| 1.3858 | 0.83 | 1800 | 1.3067 | |
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| 1.3635 | 0.92 | 2000 | 1.3064 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
