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llama-7b-absa-MT-laptops

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  1. README.md +32 -34
  2. adapter_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ license: other
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  base_model: baffo32/decapoda-research-llama-7B-hf
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  tags:
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  - generated_from_trainer
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- datasets:
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- - sem_eval2014_task4
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  model-index:
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  - name: llama-7b-absa-MT-laptops
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  results: []
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # llama-7b-absa-MT-laptops
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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 the sem_eval2014_task4 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0007
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  ## Model description
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@@ -52,36 +50,36 @@ 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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- | 0.0877 | 0.13 | 40 | 0.0245 |
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- | 0.0223 | 0.25 | 80 | 0.0205 |
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- | 0.0202 | 0.38 | 120 | 0.0159 |
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- | 0.0585 | 0.51 | 160 | 0.0139 |
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- | 0.014 | 0.63 | 200 | 0.0116 |
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- | 0.0112 | 0.76 | 240 | 0.0106 |
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- | 0.0113 | 0.89 | 280 | 0.0086 |
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- | 0.0094 | 1.01 | 320 | 0.0086 |
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- | 0.0065 | 1.14 | 360 | 0.0088 |
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- | 0.0057 | 1.26 | 400 | 0.0061 |
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- | 0.005 | 1.39 | 440 | 0.0060 |
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- | 0.0059 | 1.52 | 480 | 0.0051 |
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- | 0.0047 | 1.64 | 520 | 0.0065 |
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- | 0.0046 | 1.77 | 560 | 0.0041 |
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- | 0.0035 | 1.9 | 600 | 0.0039 |
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- | 0.0032 | 2.02 | 640 | 0.0033 |
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- | 0.0015 | 2.15 | 680 | 0.0038 |
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- | 0.002 | 2.28 | 720 | 0.0027 |
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- | 0.0016 | 2.4 | 760 | 0.0023 |
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- | 0.0014 | 2.53 | 800 | 0.0020 |
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- | 0.0011 | 2.66 | 840 | 0.0019 |
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- | 0.001 | 2.78 | 880 | 0.0018 |
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- | 0.001 | 2.91 | 920 | 0.0015 |
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- | 0.0007 | 3.04 | 960 | 0.0012 |
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- | 0.0005 | 3.16 | 1000 | 0.0010 |
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- | 0.0003 | 3.29 | 1040 | 0.0009 |
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- | 0.0003 | 3.42 | 1080 | 0.0007 |
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- | 0.0003 | 3.54 | 1120 | 0.0007 |
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- | 0.0002 | 3.67 | 1160 | 0.0007 |
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- | 0.0002 | 3.79 | 1200 | 0.0007 |
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  ### Framework versions
 
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  base_model: baffo32/decapoda-research-llama-7B-hf
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: llama-7b-absa-MT-laptops
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  results: []
 
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  # llama-7b-absa-MT-laptops
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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: 0.0014
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.086 | 0.13 | 40 | 0.0227 |
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+ | 0.0215 | 0.25 | 80 | 0.0170 |
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+ | 0.0179 | 0.38 | 120 | 0.0153 |
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+ | 0.0159 | 0.51 | 160 | 0.0119 |
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+ | 0.0133 | 0.63 | 200 | 0.0102 |
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+ | 0.0131 | 0.76 | 240 | 0.0092 |
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+ | 0.011 | 0.89 | 280 | 0.0074 |
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+ | 0.0095 | 1.01 | 320 | 0.0078 |
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+ | 0.0058 | 1.14 | 360 | 0.0065 |
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+ | 0.005 | 1.26 | 400 | 0.0069 |
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+ | 0.0059 | 1.39 | 440 | 0.0056 |
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+ | 0.0042 | 1.52 | 480 | 0.0057 |
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+ | 0.0044 | 1.64 | 520 | 0.0053 |
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+ | 0.0037 | 1.77 | 560 | 0.0040 |
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+ | 0.0036 | 1.9 | 600 | 0.0039 |
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+ | 0.003 | 2.02 | 640 | 0.0033 |
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+ | 0.0015 | 2.15 | 680 | 0.0026 |
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+ | 0.0016 | 2.28 | 720 | 0.0036 |
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+ | 0.0017 | 2.4 | 760 | 0.0026 |
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+ | 0.0015 | 2.53 | 800 | 0.0022 |
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+ | 0.0008 | 2.66 | 840 | 0.0022 |
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+ | 0.0007 | 2.78 | 880 | 0.0020 |
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+ | 0.0007 | 2.91 | 920 | 0.0020 |
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+ | 0.0005 | 3.04 | 960 | 0.0016 |
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+ | 0.0002 | 3.16 | 1000 | 0.0019 |
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+ | 0.0002 | 3.29 | 1040 | 0.0017 |
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+ | 0.0002 | 3.42 | 1080 | 0.0017 |
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+ | 0.0002 | 3.54 | 1120 | 0.0015 |
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+ | 0.0002 | 3.67 | 1160 | 0.0014 |
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+ | 0.0003 | 3.79 | 1200 | 0.0014 |
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  ### Framework versions
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