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glory10
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my_awesome_model

Text Generation
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
Inference Endpoints
text-generation-inference
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Files changed (10) hide show
  1. README.md +59 -0
  2. config.json +46 -0
  3. generation_config.json +6 -0
  4. model.safetensors +3 -0
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  7. runs/May25_18-25-52_36bd3ef9eb2e/events.out.tfevents.1716661552.36bd3ef9eb2e.1415.0 +3 -0
  8. runs/May25_18-28-22_36bd3ef9eb2e/events.out.tfevents.1716661703.36bd3ef9eb2e.1582.0 +3 -0
  9. runs/May25_18-28-22_36bd3ef9eb2e/events.out.tfevents.1716662299.36bd3ef9eb2e.1582.1 +3 -0
  10. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilgpt2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: my_awesome_model
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # my_awesome_model
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+
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+ This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.1520
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 33 | 2.3385 |
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+ | No log | 2.0 | 66 | 2.1903 |
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+ | No log | 3.0 | 99 | 2.1520 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2+cpu
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ {
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+ "_name_or_path": "distilgpt2",
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+ "_num_labels": 1,
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+ "activation_function": "gelu_new",
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+ "architectures": [
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+ "GPT2LMHeadModel"
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+ ],
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+ "attn_pdrop": 0.1,
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+ "bos_token_id": 50256,
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+ "embd_pdrop": 0.1,
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+ "eos_token_id": 50256,
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+ "id2label": {
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+ "0": "LABEL_0"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "LABEL_0": 0
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+ },
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+ "layer_norm_epsilon": 1e-05,
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+ "model_type": "gpt2",
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+ "n_ctx": 1024,
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+ "n_embd": 768,
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+ "n_head": 12,
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+ "n_inner": null,
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+ "n_layer": 6,
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+ "n_positions": 1024,
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+ "reorder_and_upcast_attn": false,
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+ "resid_pdrop": 0.1,
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+ "scale_attn_by_inverse_layer_idx": false,
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+ "scale_attn_weights": true,
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+ "summary_activation": null,
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+ "summary_first_dropout": 0.1,
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+ "summary_proj_to_labels": true,
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+ "summary_type": "cls_index",
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+ "summary_use_proj": true,
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+ "task_specific_params": {
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+ "text-generation": {
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+ "do_sample": true,
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+ "max_length": 50
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+ }
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.39.3",
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+ "use_cache": true,
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+ "vocab_size": 50257
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+ }
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+ "eos_token_id": 50256,
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+ "transformers_version": "4.39.3"
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+ }
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