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GPT2-705-RUN1

Text Generation
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gpt2
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text-generation-inference
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ninagroot/GPT2-705Mtest

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  1. README.md +12 -6
  2. model.safetensors +1 -1
  3. runs/Mar20_14-27-44_gcn33.local.snellius.surf.nl/events.out.tfevents.1710941273.gcn33.local.snellius.surf.nl.2362503.0 +3 -0
  4. 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: 7.2750
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  ## Model description
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@@ -41,17 +41,23 @@ 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: cosine
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  - lr_scheduler_warmup_steps: 300
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- - num_epochs: 4
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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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- | No log | 0.91 | 2 | 7.9754 |
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- | No log | 1.83 | 4 | 8.3820 |
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- | No log | 2.74 | 6 | 7.3030 |
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- | No log | 3.66 | 8 | 7.2750 |
 
 
 
 
 
 
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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: 6.0408
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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: cosine
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  - lr_scheduler_warmup_steps: 300
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+ - num_epochs: 10
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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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+ | No log | 0.91 | 2 | 8.3080 |
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+ | No log | 1.83 | 4 | 8.4099 |
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+ | No log | 2.74 | 6 | 7.3996 |
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+ | No log | 3.66 | 8 | 7.2565 |
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+ | No log | 4.57 | 10 | 6.9514 |
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+ | No log | 5.94 | 13 | 6.5453 |
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+ | No log | 6.86 | 15 | 6.3409 |
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+ | No log | 7.77 | 17 | 6.1577 |
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+ | No log | 8.69 | 19 | 6.5267 |
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+ | 7.123 | 9.14 | 20 | 6.0408 |
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  ### Framework versions
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