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Shakhovak
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llama-7b-absa-restaurants

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  1. README.md +14 -17
  2. adapter_model.bin +1 -1
  3. tokenizer.json +1 -6
  4. 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: 0.0039
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  ## Model description
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@@ -43,28 +43,25 @@ 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: linear
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  - lr_scheduler_warmup_steps: 2
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- - training_steps: 600
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.1052 | 0.12 | 40 | 0.0312 |
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- | 0.0269 | 0.25 | 80 | 0.0266 |
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- | 0.0243 | 0.37 | 120 | 0.0226 |
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- | 0.0219 | 0.5 | 160 | 0.0183 |
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- | 0.0177 | 0.62 | 200 | 0.0162 |
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- | 0.0152 | 0.74 | 240 | 0.0139 |
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- | 0.0137 | 0.87 | 280 | 0.0125 |
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- | 0.0117 | 0.99 | 320 | 0.0098 |
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- | 0.0074 | 1.12 | 360 | 0.0096 |
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- | 0.0072 | 1.24 | 400 | 0.0083 |
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- | 0.0054 | 1.36 | 440 | 0.0074 |
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- | 0.0047 | 1.49 | 480 | 0.0062 |
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- | 0.0038 | 1.61 | 520 | 0.0057 |
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- | 0.0032 | 1.74 | 560 | 0.0044 |
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- | 0.0022 | 1.86 | 600 | 0.0039 |
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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: 0.0444
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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: linear
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  - lr_scheduler_warmup_steps: 2
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+ - training_steps: 500
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.1289 | 0.36 | 40 | 0.0339 |
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+ | 0.0345 | 0.72 | 80 | 0.0300 |
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+ | 0.0304 | 1.08 | 120 | 0.0256 |
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+ | 0.0198 | 1.44 | 160 | 0.0261 |
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+ | 0.022 | 1.8 | 200 | 0.0249 |
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+ | 0.0157 | 2.16 | 240 | 0.0286 |
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+ | 0.0115 | 2.52 | 280 | 0.0279 |
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+ | 0.011 | 2.88 | 320 | 0.0295 |
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+ | 0.0066 | 3.24 | 360 | 0.0372 |
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+ | 0.005 | 3.6 | 400 | 0.0362 |
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+ | 0.0036 | 3.96 | 440 | 0.0423 |
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+ | 0.0018 | 4.32 | 480 | 0.0444 |
 
 
 
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  ### Framework versions
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tokenizer.json CHANGED
@@ -1,11 +1,6 @@
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- "max_length": 256,
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- "strategy": "LongestFirst",
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- "stride": 0
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- },
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  "padding": null,
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  "added_tokens": [
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training_args.bin CHANGED
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