End of training

README.md

@@ -5,14 +5,14 @@ base_model: google/mt5-small
 tags:
 - generated_from_trainer
 model-index:
-- name: mt5-small-legal-summariser-2-epochs
+- name: mt5-small-legal-summariser-32-epochs
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# mt5-small-legal-summariser-2-epochs
+# mt5-small-legal-summariser-32-epochs
 
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the In-Abs dataset.
 
@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 32
 
 ### Training results
 

adapter_config.json

@@ -24,9 +24,9 @@
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   "target_modules": [
     "v",
+    "k",
     "o",
-    "q",
-    "k"
+    "q"
   ],
   "task_type": "SEQ_2_SEQ_LM",
   "use_dora": false,

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training_args.bin

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