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Llama-360M-RUN1

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ninagroot/Llama-360Mtest

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  1. README.md +17 -18
  2. model.safetensors +1 -1
  3. runs/Mar20_16-10-51_gcn51.local.snellius.surf.nl/events.out.tfevents.1710947464.gcn51.local.snellius.surf.nl.1064152.0 +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: 4.3606
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  ## Model description
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@@ -33,11 +33,11 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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- - train_batch_size: 1
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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: 8
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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
@@ -48,21 +48,20 @@ 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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- | 8.3772 | 0.99 | 44 | 8.2600 |
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- | 7.4813 | 1.99 | 88 | 7.1917 |
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- | 6.7108 | 2.98 | 132 | 6.4281 |
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- | 6.0293 | 4.0 | 177 | 5.8969 |
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- | 5.1002 | 4.99 | 221 | 5.3150 |
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- | 4.5767 | 5.99 | 265 | 4.8598 |
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- | 4.3085 | 6.98 | 309 | 4.6251 |
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- | 4.1028 | 8.0 | 354 | 4.4794 |
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- | 3.765 | 8.99 | 398 | 4.4287 |
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- | 3.6087 | 9.99 | 442 | 4.3823 |
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- | 3.4937 | 10.98 | 486 | 4.3547 |
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- | 3.2339 | 12.0 | 531 | 4.3534 |
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- | 3.0636 | 12.99 | 575 | 4.3613 |
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- | 2.9827 | 13.99 | 619 | 4.3627 |
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- | 3.0038 | 14.92 | 660 | 4.3606 |
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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: 7.0554
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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+ - train_batch_size: 8
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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: 64
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.89 | 5 | 8.5606 |
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+ | No log | 1.96 | 11 | 8.5292 |
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+ | No log | 2.84 | 16 | 8.4846 |
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+ | 8.4864 | 3.91 | 22 | 8.4073 |
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+ | 8.4864 | 4.98 | 28 | 8.3008 |
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+ | 8.4864 | 5.87 | 33 | 8.1839 |
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+ | 8.4864 | 6.93 | 39 | 8.0042 |
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+ | 7.9713 | 8.0 | 45 | 7.7971 |
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+ | 7.9713 | 8.89 | 50 | 7.6271 |
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+ | 7.9713 | 9.96 | 56 | 7.4406 |
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+ | 7.1329 | 10.84 | 61 | 7.3101 |
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+ | 7.1329 | 11.91 | 67 | 7.1784 |
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+ | 7.1329 | 12.98 | 73 | 7.0835 |
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+ | 7.1329 | 13.33 | 75 | 7.0554 |
 
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  ### Framework versions
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