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GPT-2-Base

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End of training

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  1. README.md +67 -77
  2. model.safetensors +1 -1
  3. runs/Aug21_18-02-45_DESKTOP-7VL4NRO/events.out.tfevents.1724252567.DESKTOP-7VL4NRO.17828.0 +2 -2
  4. runs/Aug21_18-02-45_DESKTOP-7VL4NRO/events.out.tfevents.1724255796.DESKTOP-7VL4NRO.17828.1 +3 -0
README.md CHANGED
@@ -1,77 +1,67 @@
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- ---
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- license: mit
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- base_model: gpt2
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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:
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- - name: GPT-2-Base
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- results: []
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- datasets:
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- - Davlan/sib200
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- language:
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- - lt
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- - en
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- pipeline_tag: text-classification
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- ---
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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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- should probably proofread and complete it, then remove this comment. -->
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-
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- # GPT-2-Base
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-
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- This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.1649
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- - Accuracy: 0.6220
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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- - seed: 42
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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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- - num_epochs: 12
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 13 | 1.4248 | 0.4512 |
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- | No log | 2.0 | 26 | 1.1649 | 0.6220 |
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- | No log | 3.0 | 39 | 1.8808 | 0.2317 |
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- | No log | 4.0 | 52 | 1.5877 | 0.4146 |
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- | No log | 5.0 | 65 | 1.3365 | 0.5610 |
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- | No log | 6.0 | 78 | 1.3562 | 0.3780 |
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- | No log | 7.0 | 91 | 1.1908 | 0.4634 |
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- | No log | 8.0 | 104 | 1.3376 | 0.5 |
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- | No log | 9.0 | 117 | 1.5376 | 0.3659 |
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- | No log | 10.0 | 130 | 1.4232 | 0.3780 |
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- | No log | 11.0 | 143 | 2.3671 | 0.2195 |
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- | No log | 12.0 | 156 | 1.6645 | 0.3293 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.44.0
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- - Pytorch 2.4.0+cu124
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- - Datasets 2.20.0
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- - Tokenizers 0.19.1
 
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+ ---
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+ license: mit
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+ base_model: gpt2
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+ tags:
5
+ - generated_from_trainer
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+ metrics:
7
+ - accuracy
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+ model-index:
9
+ - name: GPT-2-Base
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+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # GPT-2-Base
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+
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+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4397
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+ - Accuracy: 0.5
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
42
+ - eval_batch_size: 16
43
+ - seed: 42
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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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+ - num_epochs: 8
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 44 | 1.8580 | 0.2598 |
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+ | No log | 2.0 | 88 | 1.7766 | 0.2745 |
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+ | No log | 3.0 | 132 | 1.6079 | 0.4069 |
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+ | No log | 4.0 | 176 | 1.4671 | 0.5098 |
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+ | No log | 5.0 | 220 | 1.5152 | 0.4804 |
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+ | No log | 6.0 | 264 | 1.4397 | 0.5 |
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+ | No log | 7.0 | 308 | 1.4590 | 0.5098 |
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+ | No log | 8.0 | 352 | 1.5410 | 0.5049 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0
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+ - Pytorch 2.4.0+cu124
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
 
 
 
 
 
 
 
 
 
 
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