End of training

README.md

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+---
+library_name: transformers
+base_model: hf-internal-testing/tiny-random-distilbert
+tags:
+- trackio
+- trackio:https://huggingface.co/spaces/abidlabs/huggingface-z2Cawosa6itL4l1LakX80g
+- generated_from_trainer
+model-index:
+- name: test_push_output_4
+  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. -->
+
+<a href="https://huggingface.co/spaces/abidlabs/huggingface-z2Cawosa6itL4l1LakX80g" target="_blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a>
+# test_push_output_4
+
+This model is a fine-tuned version of [hf-internal-testing/tiny-random-distilbert](https://huggingface.co/hf-internal-testing/tiny-random-distilbert) 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: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 3
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 5.0.0.dev0
+- Pytorch 2.9.1
+- Datasets 4.4.1
+- Tokenizers 0.22.1

config.json

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+{
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 32,
+  "dropout": 0.1,
+  "dtype": "float32",
+  "hidden_act": "gelu",
+  "hidden_dim": 37,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 4,
+  "n_layers": 5,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "transformers_version": "5.0.0.dev0",
+  "use_cache": false,
+  "vocab_size": 1124
+}

model.safetensors

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+size 359868

training_args.bin

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