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Llama-360M-RUN1

Text Generation
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llama
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ninagroot/Llama-360Mtest

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Apr02_15-25-19_gcn25.local.snellius.surf.nl/events.out.tfevents.1712064331.gcn25.local.snellius.surf.nl.270804.0 +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: 3.5562
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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: 0.0003
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- - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 2
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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: 100
@@ -48,14 +48,14 @@ 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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- | 4.0358 | 1.0 | 238 | 4.2148 |
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- | 2.9242 | 2.0 | 476 | 3.8319 |
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- | 2.1979 | 3.0 | 714 | 3.7139 |
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- | 1.6277 | 4.0 | 952 | 3.6317 |
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- | 1.1634 | 5.0 | 1190 | 3.5924 |
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- | 0.6908 | 6.0 | 1428 | 3.5634 |
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- | 0.5032 | 7.0 | 1666 | 3.5571 |
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- | 0.4221 | 8.0 | 1904 | 3.5562 |
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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: 3.4045
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0003
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+ - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 7.4576 | 0.99 | 59 | 5.4054 |
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+ | 3.927 | 2.0 | 119 | 3.9632 |
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+ | 2.8202 | 2.99 | 178 | 3.6557 |
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+ | 1.9108 | 4.0 | 238 | 3.4939 |
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+ | 1.3277 | 4.99 | 297 | 3.4565 |
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+ | 0.8717 | 6.0 | 357 | 3.4181 |
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+ | 0.5598 | 6.99 | 416 | 3.4027 |
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+ | 0.4604 | 7.93 | 472 | 3.4045 |
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  ### Framework versions
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