Model save

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/byt5-base](https://huggingface.co/google/byt5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1152
+- Loss: 0.1012
 
 ## Model description
 
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 16
 - 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: 3
+- num_epochs: 5
 
 ### Training results
 
@@ -54,6 +54,8 @@ The following hyperparameters were used during training:
 | 0.3238        | 1.0   | 971  | 0.1668          |
 | 0.2426        | 2.0   | 1942 | 0.1217          |
 | 0.2278        | 3.0   | 2913 | 0.1152          |
+| 0.2076        | 4.0   | 3884 | 0.1062          |
+| 0.1946        | 5.0   | 4855 | 0.1012          |
 
 
 ### Framework versions

adapter_config.json

@@ -25,8 +25,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v",
-    "q"
+    "q",
+    "v"
   ],
   "task_type": "SEQ_2_SEQ_LM",
   "trainable_token_indices": null,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 8864192

training_args.bin

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