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Llama-360M-RUN1

Text Generation
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ninagroot/Llama-360Mtest

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  1. README.md +13 -14
  2. model.safetensors +1 -1
  3. runs/Apr16_13-30-13_gcn34.local.snellius.surf.nl/events.out.tfevents.1713267022.gcn34.local.snellius.surf.nl.4076975.0 +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: 6.0825
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  ## Model description
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@@ -40,7 +40,6 @@ 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: 10
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  - num_epochs: 20
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  - mixed_precision_training: Native AMP
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@@ -48,18 +47,18 @@ 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 | 9.5914 |
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- | No log | 1.71 | 3 | 8.7234 |
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- | No log | 2.86 | 5 | 7.9484 |
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- | No log | 4.0 | 7 | 7.4874 |
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- | No log | 4.57 | 8 | 7.2589 |
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- | No log | 5.71 | 10 | 6.8699 |
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- | No log | 6.86 | 12 | 6.4984 |
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- | No log | 8.0 | 14 | 6.3137 |
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- | No log | 8.57 | 15 | 6.2260 |
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- | No log | 9.71 | 17 | 6.1466 |
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- | No log | 10.86 | 19 | 6.0892 |
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- | 6.4287 | 11.43 | 20 | 6.0825 |
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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: 6.4242
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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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  - num_epochs: 20
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  - mixed_precision_training: Native AMP
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.57 | 1 | 8.5126 |
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+ | No log | 1.71 | 3 | 8.2629 |
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+ | No log | 2.86 | 5 | 7.6468 |
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+ | No log | 4.0 | 7 | 7.0674 |
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+ | No log | 4.57 | 8 | 6.9461 |
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+ | No log | 5.71 | 10 | 6.7528 |
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+ | No log | 6.86 | 12 | 6.5911 |
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+ | No log | 8.0 | 14 | 6.5001 |
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+ | No log | 8.57 | 15 | 6.4729 |
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+ | No log | 9.71 | 17 | 6.4385 |
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+ | No log | 10.86 | 19 | 6.4254 |
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+ | 6.4414 | 11.43 | 20 | 6.4242 |
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  ### Framework versions
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