desarrolloasesoreslocales commited on
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desarrolloasesoreslocales/legal-mistral-v2

Browse files
README.md CHANGED
@@ -4,18 +4,18 @@ base_model: mistralai/Mistral-7B-Instruct-v0.1
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: legal-mistral-v0.1
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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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- # legal-mistral-v0.1
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8913
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  ## Model description
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@@ -40,13 +40,29 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.6658 | 1.0 | 60 | 2.8913 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: legal-mistral
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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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+ # legal-mistral
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  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.3540
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.4243 | 0.17 | 10 | 2.5809 |
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+ | 2.32 | 0.34 | 20 | 2.5187 |
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+ | 2.2652 | 0.52 | 30 | 2.4796 |
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+ | 2.2424 | 0.69 | 40 | 2.4498 |
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+ | 2.1759 | 0.86 | 50 | 2.4304 |
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+ | 2.1698 | 1.03 | 60 | 2.4161 |
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+ | 2.1337 | 1.21 | 70 | 2.4035 |
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+ | 2.1193 | 1.38 | 80 | 2.3962 |
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+ | 2.0928 | 1.55 | 90 | 2.3852 |
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+ | 2.1072 | 1.72 | 100 | 2.3763 |
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+ | 2.0701 | 1.9 | 110 | 2.3709 |
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+ | 2.0584 | 2.07 | 120 | 2.3670 |
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+ | 2.0569 | 2.24 | 130 | 2.3638 |
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+ | 2.0396 | 2.41 | 140 | 2.3619 |
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+ | 2.0406 | 2.59 | 150 | 2.3584 |
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+ | 2.0259 | 2.76 | 160 | 2.3552 |
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+ | 2.0492 | 2.93 | 170 | 2.3540 |
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  ### Framework versions
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