Training in progress epoch 0

README.md

@@ -1,13 +1,9 @@
 ---
-license: mit
 tags:
 - generated_from_keras_callback
 model-index:
 - name: juancopi81/mutopia_guitar_mmm
   results: []
-widget:
-- text: "PIECE_START TIME_SIGNATURE=4_4 BPM=120 TRACK_START INST=0 DENSITY=2 BAR_START NOTE_ON=60"
-  example_title: "Time signature=4/4, BPM=120, First Note=Do"
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should
@@ -15,10 +11,10 @@ probably proofread and complete it, then remove this comment. -->
 
 # juancopi81/mutopia_guitar_mmm
 
-This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the [Mutopia Guitar Dataset](https://huggingface.co/datasets/juancopi81/mutopia_guitar_dataset). Use the widget to generate your piece and then use [this notebook](https://colab.research.google.com/drive/14vlJwCvDmNH6SFfVuYY0Y18qTbaHEJCY?usp=sharing) to hear it (work in progress). The notebook is adapted from [the one created by Dr. Tristan Behrens](https://huggingface.co/TristanBehrens/js-fakes-4bars).
+This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.3167
-- Validation Loss: 1.4135
+- Train Loss: 1.0705
+- Validation Loss: 1.3590
 - Epoch: 0
 
 ## Model description
@@ -38,19 +34,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 32630, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 9089, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
 - training_precision: mixed_float16
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 1.3167     | 1.4135          | 0     |
+| 1.0705     | 1.3590          | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.21.2
+- Transformers 4.21.3
 - TensorFlow 2.8.2
 - Datasets 2.4.0
 - Tokenizers 0.12.1

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "gpt2",
+  "_name_or_path": "juancopi81/mutopia_guitar_mmm",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
@@ -32,7 +32,7 @@
       "max_length": 350
     }
   },
-  "transformers_version": "4.21.2",
+  "transformers_version": "4.21.3",
   "use_cache": true,
   "vocab_size": 588
 }

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:76ea025070f322de07a706b773f2766a40cbf962a95dc6ee9bbc41609d928e15
 size 345352296