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End of training

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  1. README.md +10 -6
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -7,7 +7,6 @@ datasets:
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  model-index:
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  - name: tweet-summarization-llama-2-finetuned
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  results: []
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- pipeline_tag: text-generation
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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
@@ -17,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the Salesforce/dialogstudio dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9075
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  ## Model description
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@@ -45,14 +44,19 @@ 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: 0.05
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.9022 | 1.0 | 55 | 1.9515 |
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- | 1.8691 | 2.0 | 110 | 1.9075 |
 
 
 
 
 
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  ### Framework versions
@@ -60,4 +64,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.32.1
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  - Pytorch 2.0.1+cu117
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  - Datasets 2.14.4
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- - Tokenizers 0.13.3
 
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  model-index:
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  - name: tweet-summarization-llama-2-finetuned
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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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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the Salesforce/dialogstudio dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8672
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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: 0.05
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+ - num_epochs: 7
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.8996 | 1.0 | 55 | 1.9491 |
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+ | 1.8415 | 2.0 | 110 | 1.8857 |
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+ | 1.7693 | 3.0 | 165 | 1.8749 |
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+ | 1.7136 | 4.0 | 220 | 1.8678 |
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+ | 1.7533 | 5.0 | 275 | 1.8663 |
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+ | 1.6182 | 6.0 | 330 | 1.8665 |
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+ | 1.69 | 7.0 | 385 | 1.8672 |
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  ### Framework versions
 
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  - Transformers 4.32.1
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  - Pytorch 2.0.1+cu117
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  - Datasets 2.14.4
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+ - Tokenizers 0.13.3
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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