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End of training

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README.md CHANGED
@@ -14,7 +14,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6080
 
 
 
 
 
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  ## Model description
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@@ -42,23 +47,7 @@ The following hyperparameters were used during training:
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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: 10
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 1.3521 | 1.0 | 446 | 1.2259 |
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- | 1.4185 | 2.0 | 892 | 1.2080 |
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- | 1.1195 | 3.0 | 1338 | 1.2291 |
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- | 0.9606 | 4.0 | 1784 | 1.2634 |
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- | 0.7691 | 5.0 | 2230 | 1.3193 |
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- | 0.8449 | 6.0 | 2676 | 1.3843 |
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- | 0.6701 | 7.0 | 3122 | 1.4593 |
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- | 0.5451 | 8.0 | 3568 | 1.5175 |
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- | 0.5712 | 9.0 | 4014 | 1.5782 |
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- | 0.6186 | 10.0 | 4460 | 1.6080 |
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-
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  ### Framework versions
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  This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: nan
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+ - eval_runtime: 1296.5217
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+ - eval_samples_per_second: 8.944
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+ - eval_steps_per_second: 8.944
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+ - epoch: 1.0
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+ - step: 11582
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  ## Model description
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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: 5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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adapter_config.json CHANGED
@@ -9,13 +9,13 @@
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  "peft_type": "LORA",
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  "revision": null,
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