End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2209
+- Loss: 0.2165
 
 ## Model description
 
@@ -35,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.001
-- train_batch_size: 6
-- eval_batch_size: 6
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.0671        | 1.0   | 546  | 0.2502          |
-| 0.0768        | 2.0   | 1092 | 0.2005          |
-| 0.0426        | 3.0   | 1638 | 0.2127          |
-| 0.04          | 4.0   | 2184 | 0.2028          |
-| 0.0241        | 5.0   | 2730 | 0.1957          |
-| 0.0168        | 6.0   | 3276 | 0.1985          |
-| 0.0154        | 7.0   | 3822 | 0.1980          |
-| 0.0053        | 8.0   | 4368 | 0.2109          |
-| 0.0058        | 9.0   | 4914 | 0.2133          |
-| 0.0014        | 10.0  | 5460 | 0.2209          |
+| 0.0978        | 1.0   | 205  | 0.2293          |
+| 0.0401        | 2.0   | 410  | 0.1967          |
+| 0.0265        | 3.0   | 615  | 0.1954          |
+| 0.0293        | 4.0   | 820  | 0.2346          |
+| 0.0122        | 5.0   | 1025 | 0.2172          |
+| 0.0117        | 6.0   | 1230 | 0.2048          |
+| 0.0057        | 7.0   | 1435 | 0.2086          |
+| 0.0034        | 8.0   | 1640 | 0.2014          |
+| 0.0011        | 9.0   | 1845 | 0.2135          |
+| 0.0003        | 10.0  | 2050 | 0.2165          |
 
 
 ### Framework versions

adapter_config.json

@@ -11,16 +11,19 @@
   "init_lora_weights": true,
   "layers_pattern": null,
   "layers_to_transform": null,
+  "loftq_config": {},
   "lora_alpha": 64,
   "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
   "modules_to_save": null,
   "peft_type": "LORA",
   "r": 32,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "q_proj"
+    "q_proj",
+    "v_proj"
   ],
   "task_type": null
 }

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 37789960

training_args.bin

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+oid sha256:f7ee48ee4e3653fcb2371e6a3f574ad6c06474c1864132b11761d69e867373c9
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