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Llama-360M-RUN1

Text Generation
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ninagroot/Llama-360Mtest

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  1. README.md +12 -6
  2. model.safetensors +1 -1
  3. runs/Apr16_11-29-24_gcn42.local.snellius.surf.nl/events.out.tfevents.1713259771.gcn42.local.snellius.surf.nl.1095892.0 +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: 9.4293
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  ## Model description
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@@ -40,17 +40,23 @@ The following hyperparameters were used during training:
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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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- - lr_scheduler_warmup_steps: 100
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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 | 0.57 | 1 | 9.6426 |
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- | No log | 1.71 | 3 | 9.5332 |
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- | No log | 2.29 | 4 | 9.4293 |
 
 
 
 
 
 
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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: 7.2105
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  ## Model description
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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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+ - lr_scheduler_warmup_steps: 50
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+ - num_epochs: 15
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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 | 0.57 | 1 | 9.6269 |
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+ | No log | 1.71 | 3 | 9.4326 |
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+ | No log | 2.86 | 5 | 9.0171 |
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+ | No log | 4.0 | 7 | 8.4462 |
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+ | No log | 4.57 | 8 | 8.2033 |
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+ | No log | 5.71 | 10 | 7.8273 |
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+ | No log | 6.86 | 12 | 7.5718 |
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+ | No log | 8.0 | 14 | 7.3381 |
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+ | No log | 8.57 | 15 | 7.2105 |
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  ### Framework versions
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