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Shakhovak
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llama-7b-absa-laptops

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  1. README.md +11 -11
  2. adapter_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0223
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  ## Model description
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.1228 | 0.36 | 40 | 0.0324 |
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- | 0.0282 | 0.72 | 80 | 0.0258 |
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- | 0.0223 | 1.08 | 120 | 0.0221 |
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- | 0.0172 | 1.44 | 160 | 0.0246 |
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- | 0.0156 | 1.8 | 200 | 0.0211 |
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- | 0.0132 | 2.16 | 240 | 0.0197 |
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- | 0.0075 | 2.52 | 280 | 0.0217 |
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- | 0.0084 | 2.88 | 320 | 0.0194 |
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- | 0.0042 | 3.24 | 360 | 0.0218 |
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- | 0.0029 | 3.6 | 400 | 0.0223 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0268
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.121 | 0.36 | 40 | 0.0299 |
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+ | 0.0314 | 0.72 | 80 | 0.0236 |
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+ | 0.0234 | 1.08 | 120 | 0.0235 |
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+ | 0.017 | 1.44 | 160 | 0.0209 |
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+ | 0.016 | 1.8 | 200 | 0.0213 |
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+ | 0.0119 | 2.16 | 240 | 0.0240 |
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+ | 0.0074 | 2.52 | 280 | 0.0239 |
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+ | 0.0089 | 2.88 | 320 | 0.0218 |
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+ | 0.0051 | 3.24 | 360 | 0.0247 |
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+ | 0.0035 | 3.6 | 400 | 0.0268 |
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  ### Framework versions
adapter_model.bin CHANGED
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training_args.bin CHANGED
@@ -1,3 +1,3 @@
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