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Upload latest checkpoint with model card

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README.md ADDED
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+
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+ # Model Card for t5_small Summarization Model
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+
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+ ## Model Details
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+ This model is a fine-tuned version of t5_small on the CNN/Daily Mail dataset
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+ for summarization tasks.
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+
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+ ## Training Data
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+ The model was trained on the CNN/Daily Mail dataset.
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+
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+ ## Training Procedure
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+ - **Learning Rate**: 5e-5
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+ - **Epochs**: 3
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+ - **Batch Size**: 16
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+
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+ ## How to Use
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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+
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+ tokenizer = AutoTokenizer.from_pretrained("hskang/cnn_dailymail_t5_small")
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+ model = AutoModelForSeq2SeqLM.from_pretrained("hskang/cnn_dailymail_t5_small")
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+
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+ input_text = "upstage tutorial text summarization code"
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+ inputs = tokenizer.encode(input_text, return_tensors="pt")
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+ outputs = model.generate(inputs)
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+ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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+ ```
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+
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+ ## Evaluation
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+ - **ROUGE-1**: 23.45
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+ - **ROUGE-2**: 7.89
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+ - **ROUGE-L**: 21.34
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+ - **BLEU**: 13.56
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+
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+ ## Limitations
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+ The model may generate biased or inappropriate content due to the nature
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+ of the training data.
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+ It is recommended to use the model with caution and apply necessary filters.
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+
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+ ## Ethical Considerations
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+ Bias: The model may inherit biases present in the training data.
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+ Misuse: The model can be misused to generate misleading or harmful content.
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+ Copyright and License
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+ This model is licensed under the MIT License.
config.json ADDED
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+ {
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+ "_name_or_path": "gpt2",
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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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+ "initializer_range": 0.02,
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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": 12,
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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": "4.41.2",
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+ "use_cache": true,
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+ "vocab_size": 50257
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 50256,
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+ "eos_token_id": 50256,
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+ "transformers_version": "4.41.2"
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+ }
merges.txt ADDED
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special_tokens_map.json ADDED
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+ {
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+ "bos_token": {
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+ "content": "<|endoftext|>",
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+ "lstrip": false,
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+ "normalized": true,
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+ "rstrip": false,
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+ "single_word": false
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+ },
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+ "eos_token": {
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+ "content": "<|endoftext|>",
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+ "lstrip": false,
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+ "normalized": true,
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+ "rstrip": false,
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+ "single_word": false
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+ },
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+ "pad_token": "<|endoftext|>",
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+ "unk_token": {
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+ "content": "<|endoftext|>",
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+ "lstrip": false,
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+ "normalized": true,
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+ "rstrip": false,
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+ "single_word": false
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+ }
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+ }
tokenizer_config.json ADDED
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+ {
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+ "add_bos_token": false,
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+ "add_prefix_space": false,
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+ "added_tokens_decoder": {
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+ "50256": {
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+ "content": "<|endoftext|>",
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+ "lstrip": false,
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+ "normalized": true,
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+ "rstrip": false,
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+ "single_word": false,
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+ "special": true
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+ }
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+ },
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+ "bos_token": "<|endoftext|>",
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+ "clean_up_tokenization_spaces": true,
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+ "eos_token": "<|endoftext|>",
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+ "errors": "replace",
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+ "model_max_length": 1024,
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+ "pad_token": "<|endoftext|>",
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+ "tokenizer_class": "GPT2Tokenizer",
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+ "unk_token": "<|endoftext|>"
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+ }
vocab.json ADDED
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