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elliottfitzgerald
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opt-125m-finetuned-mnli

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End of training

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  1. README.md +16 -14
  2. adapter_model.safetensors +1 -1
  3. runs/May01_02-24-34_ddcf5e5af957/events.out.tfevents.1714530419.ddcf5e5af957.11126.1 +3 -0
README.md CHANGED
@@ -1,8 +1,9 @@
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  ---
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  license: other
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- base_model: facebook/opt-125m
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  tags:
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  - generated_from_trainer
 
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  metrics:
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  - accuracy
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  model-index:
@@ -17,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8182
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- - Accuracy: 0.5287
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  ## Model description
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@@ -49,21 +50,22 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 1 | 1.0643 | 0.5197 |
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- | No log | 2.0 | 2 | 1.0065 | 0.5196 |
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- | No log | 3.0 | 3 | 0.8588 | 0.5191 |
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- | No log | 4.0 | 4 | 0.7744 | 0.5215 |
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- | No log | 5.0 | 5 | 0.7629 | 0.5223 |
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- | No log | 6.0 | 6 | 0.7726 | 0.5260 |
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- | No log | 7.0 | 7 | 0.7934 | 0.5278 |
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- | No log | 8.0 | 8 | 0.8182 | 0.5287 |
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- | No log | 9.0 | 9 | 0.8379 | 0.5278 |
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- | No log | 10.0 | 10 | 0.8506 | 0.5257 |
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  ### Framework versions
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  - Transformers 4.40.1
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.19.0
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- - Tokenizers 0.19.1
 
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  ---
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  license: other
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+ library_name: peft
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  tags:
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  - generated_from_trainer
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+ base_model: facebook/opt-125m
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  metrics:
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  - accuracy
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  model-index:
 
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  This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7261
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+ - Accuracy: 0.5221
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 1 | 0.7291 | 0.5130 |
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+ | No log | 2.0 | 2 | 0.7274 | 0.5137 |
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+ | No log | 3.0 | 3 | 0.7253 | 0.5146 |
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+ | No log | 4.0 | 4 | 0.7239 | 0.5129 |
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+ | No log | 5.0 | 5 | 0.7228 | 0.5118 |
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+ | No log | 6.0 | 6 | 0.7220 | 0.5117 |
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+ | No log | 7.0 | 7 | 0.7213 | 0.5123 |
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+ | No log | 8.0 | 8 | 0.7208 | 0.5109 |
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+ | No log | 9.0 | 9 | 0.7205 | 0.5118 |
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+ | No log | 10.0 | 10 | 0.7204 | 0.5115 |
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  ### Framework versions
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+ - PEFT 0.10.0
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  - Transformers 4.40.1
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  - Pytorch 2.2.1+cu121
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  - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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  size 67792
 
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runs/May01_02-24-34_ddcf5e5af957/events.out.tfevents.1714530419.ddcf5e5af957.11126.1 ADDED
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