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README.md

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+---
+license: other
+base_model: models/tinyllama-rubra-1
+tags:
+- llama-factory
+- freeze
+- generated_from_trainer
+model-index:
+- name: sft
+  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. -->
+
+# sft
+
+This model is a fine-tuned version of [models/tinyllama-rubra-1](https://huggingface.co/models/tinyllama-rubra-1) on the test_data1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6092
+
+## 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: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+    "eval_steps_per_second": 95.997,
+    "total_flos": 582886539362304.0,
+    "train_loss": 0.49246828881177035,
+    "train_runtime": 12.5387,
+    "train_samples_per_second": 70.98,
+    "train_steps_per_second": 8.773
+}

config.json

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+{
+  "_name_or_path": "models/tinyllama-rubra-1",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 23,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.43.4",
+  "use_cache": false,
+  "vocab_size": 32000
+}

eval_results.json

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+    "eval_loss": 0.609153687953949,
+    "eval_runtime": 0.1042,
+    "eval_samples_per_second": 95.997,
+    "eval_steps_per_second": 95.997
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.43.4"
+}

model.safetensors

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special_tokens_map.json

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+}

tokenizer.model

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tokenizer_config.json

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+}

train_results.json

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