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ArmanAsq
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AYA-CLM-DSM-NoOerlap

Text Generation
Transformers
Safetensors
cohere
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
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ArmanAsq commited on
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End of training

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  1. README.md +10 -10
  2. model-00001-of-00004.safetensors +1 -1
  3. model-00002-of-00004.safetensors +1 -1
  4. model-00003-of-00004.safetensors +1 -1
  5. model-00004-of-00004.safetensors +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [CohereForAI/aya-23-8B](https://huggingface.co/CohereForAI/aya-23-8B) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3016
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  ## Model description
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@@ -47,16 +47,16 @@ 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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- | No log | 1.0 | 6 | 2.8530 |
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- | No log | 2.0 | 12 | 2.6595 |
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- | No log | 3.0 | 18 | 2.5028 |
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- | No log | 4.0 | 24 | 2.4215 |
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  | No log | 5.0 | 30 | 2.3694 |
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- | No log | 6.0 | 36 | 2.3343 |
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- | No log | 7.0 | 42 | 2.3137 |
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- | No log | 8.0 | 48 | 2.3057 |
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- | No log | 9.0 | 54 | 2.3008 |
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- | No log | 10.0 | 60 | 2.3014 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [CohereForAI/aya-23-8B](https://huggingface.co/CohereForAI/aya-23-8B) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.3013
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 6 | 2.8532 |
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+ | No log | 2.0 | 12 | 2.6598 |
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+ | No log | 3.0 | 18 | 2.5029 |
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+ | No log | 4.0 | 24 | 2.4218 |
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  | No log | 5.0 | 30 | 2.3694 |
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+ | No log | 6.0 | 36 | 2.3356 |
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+ | No log | 7.0 | 42 | 2.3146 |
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+ | No log | 8.0 | 48 | 2.3054 |
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+ | No log | 9.0 | 54 | 2.3027 |
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+ | No log | 10.0 | 60 | 2.3011 |
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  ### Framework versions
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