Model save

README.md

@@ -3,8 +3,6 @@ library_name: peft
 license: cc-by-nc-4.0
 base_model: facebook/musicgen-small
 tags:
-- text-to-audio
-- taufiqsyed/salami_cleaned_sampled
 - generated_from_trainer
 model-index:
 - name: salami_truncsplit_model_trial2
@@ -16,10 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # salami_truncsplit_model_trial2
 
-This model is a fine-tuned version of [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) on the TAUFIQSYED/SALAMI_CLEANED_SAMPLED - DEFAULT dataset.
-It achieves the following results on the evaluation set:
-- Loss: 5.6239
-- Clap: 0.0428
+This model is a fine-tuned version of [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) on an unknown dataset.
 
 ## Model description
 
@@ -46,7 +41,7 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 16
 - optimizer: Use adamw_torch with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: constant
-- num_epochs: 1.0
+- num_epochs: 0.0
 - mixed_precision_training: Native AMP
 
 ### Training results

adapter_config.json

@@ -23,22 +23,22 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "fc2",
-    "embed_tokens.2",
     "lm_heads.0",
-    "k_proj",
-    "enc_to_dec_proj",
-    "lm_heads.2",
-    "embed_tokens.1",
-    "q_proj",
     "audio_enc_to_dec_proj",
-    "lm_heads.3",
+    "lm_heads.1",
+    "q_proj",
     "embed_tokens.0",
+    "embed_tokens.1",
     "embed_tokens.3",
-    "v_proj",
-    "lm_heads.1",
+    "embed_tokens.2",
+    "k_proj",
+    "fc1",
+    "lm_heads.3",
+    "lm_heads.2",
     "out_proj",
-    "fc1"
+    "enc_to_dec_proj",
+    "v_proj",
+    "fc2"
   ],
   "task_type": null,
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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training_args.bin

@@ -1,3 +1,3 @@
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 size 5496