musiclang/musiclang-bpe-xl

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: model_xl
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# model_xl
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0306
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0001
+- train_batch_size: 12
+- eval_batch_size: 12
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 24
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 500
+- training_steps: 0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.6465        | 0.11  | 2000  | 2.3854          |
+| 1.5576        | 0.22  | 4000  | 1.4934          |
+| 1.3344        | 0.33  | 6000  | 1.2809          |
+| 1.2192        | 0.43  | 8000  | 1.1750          |
+| 1.1604        | 0.54  | 10000 | 1.1104          |
+| 1.108         | 0.65  | 12000 | 1.0707          |
+| 1.0949        | 0.76  | 14000 | 1.0461          |
+| 1.0759        | 0.87  | 16000 | 1.0332          |
+| 1.0622        | 0.98  | 18000 | 1.0306          |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

config.json

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+{
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 1,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 1,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_embd": 600,
+  "n_head": 15,
+  "n_inner": null,
+  "n_layer": 15,
+  "n_positions": 4096,
+  "padding_token_id": 1,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 30000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 1,
+  "transformers_version": "4.37.2"
+}

model.safetensors

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+oid sha256:94548dff33fba2804f1912d7071a9efcd65cdcaf1edeb1d2082fd015b070f080
+size 341521824

training_args.bin

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