PaulD commited on
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End of training

Browse files
README.md CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
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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 None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6912
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  - Eval/rewards/chosen: 0.0
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- - Eval/logps/chosen: -203.5358
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  - Eval/rewards/rejected: 0.0
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- - Eval/logps/rejected: -215.2117
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  - Eval/rewards/margins: 0.0
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  - Eval/kl: 0.0
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@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
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  - learning_rate: 0.0
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  - train_batch_size: 1
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  - eval_batch_size: 2
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- - seed: 5678
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  - gradient_accumulation_steps: 8
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  - total_train_batch_size: 8
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -56,9 +56,9 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | |
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- |:-------------:|:-----:|:----:|:---------------:|:---:|
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- | 1.0625 | 0.96 | 12 | 1.6912 | 0.0 |
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  ### Framework versions
 
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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 None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6650
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  - Eval/rewards/chosen: 0.0
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+ - Eval/logps/chosen: -207.5800
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  - Eval/rewards/rejected: 0.0
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+ - Eval/logps/rejected: -221.5768
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  - Eval/rewards/margins: 0.0
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  - Eval/kl: 0.0
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  - learning_rate: 0.0
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  - train_batch_size: 1
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  - eval_batch_size: 2
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+ - seed: 9012
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  - gradient_accumulation_steps: 8
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  - total_train_batch_size: 8
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | |
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+ |:-------------:|:------:|:----:|:---------------:|:---:|
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+ | 0.5625 | 0.9412 | 12 | 0.6650 | 0.0 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -20,10 +20,10 @@
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  "rank_pattern": {},
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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  "task_type": "CAUSAL_LM",
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