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w-ahmad
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8M-ACT

Text Generation
Transformers
Safetensors
tiny_llama
Generated from Trainer
Model card Files
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  1. README.md +13 -13
  2. training_log.jsonl +2 -2
README.md CHANGED
@@ -3,18 +3,18 @@ library_name: transformers
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: 2M-ACT
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # 2M-ACT
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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: 0.2182
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  ## Model description
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@@ -45,16 +45,16 @@ 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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- | 3.2722 | 0.0135 | 200 | 3.0835 |
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- | 0.7555 | 0.0270 | 400 | 0.7124 |
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- | 0.4207 | 0.0404 | 600 | 0.4214 |
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- | 0.3327 | 0.0539 | 800 | 0.3334 |
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- | 0.2918 | 0.0674 | 1000 | 0.2911 |
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- | 0.2657 | 0.0809 | 1200 | 0.2649 |
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- | 0.2437 | 0.0944 | 1400 | 0.2455 |
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- | 0.2416 | 0.1079 | 1600 | 0.2454 |
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- | 0.2257 | 0.1213 | 1800 | 0.2245 |
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- | 0.2167 | 0.1348 | 2000 | 0.2182 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: 8M-ACT
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # 8M-ACT
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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: 0.2521
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 4.3392 | 0.0135 | 200 | 4.1956 |
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+ | 1.8409 | 0.0270 | 400 | 1.7534 |
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+ | 0.6713 | 0.0404 | 600 | 0.6773 |
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+ | 0.4330 | 0.0539 | 800 | 0.4251 |
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+ | 0.3502 | 0.0674 | 1000 | 0.3474 |
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+ | 0.3133 | 0.0809 | 1200 | 0.3119 |
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+ | 0.2853 | 0.0944 | 1400 | 0.2870 |
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+ | 0.3090 | 0.1079 | 1600 | 0.3029 |
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+ | 0.2625 | 0.1213 | 1800 | 0.2610 |
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+ | 0.2505 | 0.1348 | 2000 | 0.2521 |
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  ### Framework versions
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