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README.md ADDED
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+ ---
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+ license: other
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+ base_model: huggyllama/llama-7b
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ datasets:
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+ - generator
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+ model-index:
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+ - name: llama-lima
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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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+ # llama-lima
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+
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+ This model is a fine-tuned version of [huggyllama/llama-7b](https://huggingface.co/huggyllama/llama-7b) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.9975
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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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+ - distributed_type: multi-GPU
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+ - num_devices: 16
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 10.0
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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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+ | 1.8892 | 1.0 | 6 | 1.7981 |
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+ | 1.7346 | 2.0 | 12 | 1.7421 |
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+ | 1.5782 | 3.0 | 18 | 1.6837 |
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+ | 1.3988 | 4.0 | 24 | 1.7017 |
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+ | 1.0825 | 5.0 | 30 | 1.7303 |
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+ | 0.9252 | 6.0 | 36 | 1.8102 |
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+ | 0.794 | 7.0 | 42 | 1.9195 |
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+ | 0.7094 | 8.0 | 48 | 1.9669 |
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+ | 0.6205 | 9.0 | 54 | 1.9970 |
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+ | 0.5749 | 10.0 | 60 | 1.9975 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.2
all_results.json ADDED
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+ {
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+ "epoch": 10.0,
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+ "train_loss": 1.0947178224722545,
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+ "train_runtime": 366.9794,
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+ "train_samples": 1030,
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+ "train_samples_per_second": 20.192,
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+ "train_steps_per_second": 0.163
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+ }
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+ {
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+ "_name_or_path": "huggyllama/llama-7b",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "initializer_range": 0.02,
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+ "intermediate_size": 11008,
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+ "max_position_embeddings": 2048,
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+ "max_sequence_length": 2048,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "pad_token_id": 0,
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+ "pretraining_tp": 1,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.38.2",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
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+ "transformers_version": "4.38.2"
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