Update README.md

README.md

@@ -5,6 +5,9 @@ tags:
 model-index:
 - name: checkpoint-41_9k-lr5em5-bs15n5_r64LA128dt01_2811
   results: []
+license: mit
+language:
+- es
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,7 +29,7 @@ More information needed
 
 ## Training and evaluation data
 
-More information needed
+The used Dataset is "BrunoGR/HEAR-Hispanic_Emotional_Accompaniment_Responses".
 
 ## Training procedure
 
@@ -43,6 +46,13 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 300
 - num_epochs: 3
+Lora Parameters:
+- r: 64
+- Alpha: 128
+- LoRA_DROPOUT: 0.1
+- bias: "none"
+- task_type: "CAUSAL_LM"
+- LoRA_TARGET_MODULES = \[ "q_proj", "v_proj" \]
 
 ### Training results
 
@@ -72,5 +82,12 @@ The following hyperparameters were used during training:
 
 - Transformers 4.35.2
 - Pytorch 2.1.1+cu121
-- Datasets 2.4.0
+- Datasets 2.16.0
 - Tokenizers 0.15.0
+- torch: 2.1.1
+- trl: 0.7.5
+- tokenizers: 0.15.0
+- peft: 0.7.0
+- evaluate: 0.4.1
+- accelerate: 0.25.0
+- seaborn: 0.13.0