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Llama-360M-RUN1

Text Generation
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llama
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text-generation-inference
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ninagroot/Llama-360Mtest

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  1. README.md +14 -6
  2. model.safetensors +1 -1
  3. runs/Mar22_13-12-25_gcn31.local.snellius.surf.nl/events.out.tfevents.1711109557.gcn31.local.snellius.surf.nl.998404.0 +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: 4.2830
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  ## Model description
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@@ -41,17 +41,25 @@ 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: 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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- | 6.0238 | 1.0 | 69 | 5.9202 |
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- | 5.2632 | 2.0 | 138 | 4.8940 |
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- | 4.012 | 3.0 | 207 | 4.3873 |
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- | 3.7681 | 4.0 | 276 | 4.2830 |
 
 
 
 
 
 
 
 
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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: 4.3046
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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: 100
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+ - num_epochs: 12
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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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+ | 6.0662 | 1.0 | 69 | 5.8781 |
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+ | 5.1419 | 2.0 | 138 | 4.9025 |
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+ | 4.1271 | 3.0 | 207 | 4.4935 |
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+ | 3.8908 | 4.0 | 276 | 4.3523 |
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+ | 3.5293 | 5.0 | 345 | 4.2722 |
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+ | 3.322 | 6.0 | 414 | 4.2443 |
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+ | 2.8975 | 7.0 | 483 | 4.2451 |
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+ | 2.6264 | 8.0 | 552 | 4.2609 |
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+ | 2.346 | 9.0 | 621 | 4.2915 |
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+ | 1.9401 | 10.0 | 690 | 4.2793 |
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+ | 1.7366 | 11.0 | 759 | 4.3004 |
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+ | 1.676 | 12.0 | 828 | 4.3046 |
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  ### Framework versions
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