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Model save

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README.md CHANGED
@@ -3,8 +3,6 @@ license: apache-2.0
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  base_model: JackFram/llama-68m
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  tags:
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  - generated_from_trainer
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- metrics:
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- - accuracy
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  model-index:
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  - name: recreate_llama_68M_vanilla
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  results: []
@@ -15,10 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # recreate_llama_68M_vanilla
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- This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on the anon8231489123/ShareGPT_Vicuna_unfiltered/ShareGPT_V3_unfiltered_cleaned_split.json dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 9.5494
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- - Accuracy: 0.3512
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  ## Model description
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@@ -37,27 +32,17 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.005
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- - train_batch_size: 32
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  - num_epochs: 3.0
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | No log | 0.3125 | 10 | 7.9370 | 0.3676 |
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- | No log | 0.625 | 20 | 8.6808 | 0.3478 |
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- | No log | 0.9375 | 30 | 10.9798 | 0.1029 |
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- | No log | 1.25 | 40 | 10.3023 | 0.2493 |
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- | No log | 1.5625 | 50 | 9.7688 | 0.3501 |
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- | No log | 1.875 | 60 | 9.6190 | 0.3510 |
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- | No log | 2.1875 | 70 | 9.5617 | 0.3510 |
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- | No log | 2.5 | 80 | 9.5470 | 0.3511 |
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- | No log | 2.8125 | 90 | 9.5487 | 0.3511 |
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  ### Framework versions
 
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  base_model: JackFram/llama-68m
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: recreate_llama_68M_vanilla
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  results: []
 
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  # recreate_llama_68M_vanilla
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+ This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on an unknown dataset.
 
 
 
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 12
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+ - eval_batch_size: 24
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.05
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  - num_epochs: 3.0
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  ### Training results
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  ### Framework versions
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