Model save

README.md

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 ---
-license: wtfpl
+library_name: transformers
+tags:
+- generated_from_trainer
+model-index:
+- name: TraXL
+  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. -->
+
+# TraXL
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+
+## 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: 5e-05
+- 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
+- num_epochs: 3.0
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu124
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "architectures": [
+    "TraXL"
+  ],
+  "dropout": 0.1,
+  "ff_expansion_factor": 8,
+  "hidden_size": 512,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "max_computation_steps": 10,
+  "max_len": 512,
+  "memory_size": 512,
+  "model_type": "TraXL",
+  "n_embd": 512,
+  "n_head": 8,
+  "n_layer": 8,
+  "rnn_units": 512,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "vocab_size": 60000
+}

model.safetensors

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+size 372079412

training_args.bin

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