End of training

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8891
+- Loss: 4.0254
 
 ## Model description
 
@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- 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: 10
 
@@ -47,22 +47,22 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 7    | 3.6454          |
-| 4.0678        | 2.0   | 14   | 2.5448          |
-| 3.1325        | 3.0   | 21   | 1.9621          |
-| 3.1325        | 4.0   | 28   | 1.6217          |
-| 2.3717        | 5.0   | 35   | 1.2839          |
-| 1.887         | 6.0   | 42   | 1.1278          |
-| 1.887         | 7.0   | 49   | 0.9841          |
-| 1.5733        | 8.0   | 56   | 1.0033          |
-| 1.4319        | 9.0   | 63   | 0.9238          |
-| 1.3325        | 10.0  | 70   | 0.8891          |
+| No log        | 1.0   | 7    | 26.9414         |
+| 33.214        | 2.0   | 14   | 18.4409         |
+| 18.853        | 3.0   | 21   | 9.5696          |
+| 18.853        | 4.0   | 28   | 5.1493          |
+| 7.8655        | 5.0   | 35   | 4.6459          |
+| 4.9801        | 6.0   | 42   | 4.4168          |
+| 4.9801        | 7.0   | 49   | 4.2528          |
+| 4.5873        | 8.0   | 56   | 4.1346          |
+| 4.3958        | 9.0   | 63   | 4.0561          |
+| 4.2927        | 10.0  | 70   | 4.0254          |
 
 
 ### Framework versions
 
 - PEFT 0.14.0
-- Transformers 4.47.1
-- Pytorch 2.5.1+cu121
-- Datasets 3.2.0
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.0
 - Tokenizers 0.21.0

adapter_config.json

@@ -23,8 +23,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q",
-    "v"
+    "v",
+    "q"
   ],
   "task_type": "SEQ_2_SEQ_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a16b6d5ea9a2213bbac7e06d7f21183039fcf61cb26b40efa6917253dbbc0379
+oid sha256:04c9bf7d04a66088236e9b672699c8b153759c25fdd07bf8ee8eaa83ba2613cc
 size 6655648