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README.md
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# LLaMA Model trained on TinyShakespeare
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This is a small LLaMA model trained on the TinyShakespeare dataset.
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Model configuration:
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```
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{
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"vocab_size": 2000,
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"dim": 192,
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"num_heads": 8,
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"num_layers": 4,
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"max_seq_len": 128,
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"return_dict": true,
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"output_hidden_states": false,
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"output_attentions": false,
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"torchscript": false,
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"torch_dtype": "float32",
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"use_bfloat16": false,
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"tf_legacy_loss": false,
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"pruned_heads": {},
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"tie_word_embeddings": true,
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"chunk_size_feed_forward": 0,
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"is_encoder_decoder": false,
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"is_decoder": false,
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"cross_attention_hidden_size": null,
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"add_cross_attention": false,
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"tie_encoder_decoder": false,
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"max_length": 20,
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"min_length": 0,
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"do_sample": false,
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"early_stopping": false,
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"num_beams": 1,
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"num_beam_groups": 1,
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"diversity_penalty": 0.0,
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0,
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"typical_p": 1.0,
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"repetition_penalty": 1.0,
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"length_penalty": 1.0,
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"no_repeat_ngram_size": 0,
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"encoder_no_repeat_ngram_size": 0,
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"bad_words_ids": null,
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"num_return_sequences": 1,
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"output_scores": false,
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"return_dict_in_generate": false,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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"remove_invalid_values": false,
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"exponential_decay_length_penalty": null,
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"suppress_tokens": null,
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"begin_suppress_tokens": null,
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"architectures": [
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"LLaMAForHF"
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],
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"finetuning_task": null,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"tokenizer_class": null,
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"prefix": null,
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"bos_token_id": null,
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"pad_token_id": null,
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"eos_token_id": null,
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"sep_token_id": null,
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"decoder_start_token_id": null,
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"task_specific_params": null,
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"problem_type": null,
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"_name_or_path": "",
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"transformers_version": "4.41.2",
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"batch_size": 64,
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"context_window": 64,
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"train_split": 0.8,
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"val_split": 0.1,
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"test_split": 0.1,
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"epochs": 5,
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"learning_rate": 0.0001,
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"max_lr": 0.0003,
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"warmup_steps": 1000,
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"weight_decay": 0.1,
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"clip_grad_norm": 0.5,
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"dropout": 0.1,
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"model_type": "llama"
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}
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```
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