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GPT2-705-RUN1

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ninagroot/GPT2-705Mtest

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Files changed (5) hide show
  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. runs/Apr16_11-48-21_gcn20.local.snellius.surf.nl/events.out.tfevents.1713260914.gcn20.local.snellius.surf.nl.2068065.0 +3 -0
  4. runs/Apr16_13-14-39_gcn15.local.snellius.surf.nl/events.out.tfevents.1713266088.gcn15.local.snellius.surf.nl.3472509.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 6.4686
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  ## Model description
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@@ -33,10 +33,10 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.00025
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- - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 8
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  - total_train_batch_size: 128
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
@@ -48,18 +48,18 @@ 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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- | No log | 0.57 | 1 | 9.6994 |
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- | No log | 1.71 | 3 | 8.4606 |
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- | No log | 2.86 | 5 | 8.2029 |
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- | No log | 4.0 | 7 | 8.3213 |
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- | No log | 4.57 | 8 | 7.6727 |
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- | No log | 5.71 | 10 | 7.8271 |
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- | No log | 6.86 | 12 | 7.3413 |
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- | No log | 8.0 | 14 | 7.1521 |
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- | No log | 8.57 | 15 | 7.4625 |
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- | No log | 9.71 | 17 | 6.8302 |
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- | No log | 10.86 | 19 | 6.5958 |
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- | 7.2144 | 11.43 | 20 | 6.4686 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.5241
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.00025
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+ - train_batch_size: 32
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 4
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  - total_train_batch_size: 128
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.57 | 1 | 9.7551 |
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+ | No log | 1.71 | 3 | 8.5731 |
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+ | No log | 2.86 | 5 | 8.3102 |
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+ | No log | 4.0 | 7 | 7.8022 |
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+ | No log | 4.57 | 8 | 7.8957 |
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+ | No log | 5.71 | 10 | 7.6326 |
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+ | No log | 6.86 | 12 | 7.1814 |
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+ | No log | 8.0 | 14 | 7.1649 |
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+ | No log | 8.57 | 15 | 7.2076 |
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+ | No log | 9.71 | 17 | 6.8886 |
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+ | No log | 10.86 | 19 | 6.7248 |
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+ | 7.2482 | 11.43 | 20 | 6.5241 |
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  ### Framework versions
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