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README.md

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+---
+license: mit
+base_model: microsoft/phi-2
+tags:
+- generated_from_trainer
+model-index:
+- name: Phi-2
+  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. -->
+
+# Phi-2
+
+This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0781
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 2048
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 12.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2903        | 0.64  | 25   | 0.1770          |
+| 0.1566        | 1.28  | 50   | 0.1319          |
+| 0.1379        | 1.92  | 75   | 0.1253          |
+| 0.1246        | 2.56  | 100  | 0.1165          |
+| 0.1159        | 3.2   | 125  | 0.1049          |
+| 0.1048        | 3.84  | 150  | 0.0998          |
+| 0.0947        | 4.48  | 175  | 0.0949          |
+| 0.0872        | 5.12  | 200  | 0.0906          |
+| 0.0836        | 5.76  | 225  | 0.0890          |
+| 0.0774        | 6.39  | 250  | 0.0850          |
+| 0.0717        | 7.03  | 275  | 0.0827          |
+| 0.0639        | 7.67  | 300  | 0.0807          |
+| 0.0596        | 8.31  | 325  | 0.0789          |
+| 0.0555        | 8.95  | 350  | 0.0773          |
+| 0.0498        | 9.59  | 375  | 0.0777          |
+| 0.0491        | 10.23 | 400  | 0.0781          |
+| 0.0467        | 10.87 | 425  | 0.0780          |
+| 0.0459        | 11.51 | 450  | 0.0781          |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

added_tokens.json

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+}

config.json

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+{
+  "_name_or_path": "microsoft/phi-2",
+  "architectures": [
+    "PhiForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "auto_map": {
+    "AutoConfig": "microsoft/phi-2--configuration_phi.PhiConfig",
+    "AutoModelForCausalLM": "microsoft/phi-2--modeling_phi.PhiForCausalLM"
+  },
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 50256,
+  "hidden_act": "gelu_new",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 10240,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "phi",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "partial_rotary_factor": 0.4,
+  "qk_layernorm": false,
+  "resid_pdrop": 0.1,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.1",
+  "use_cache": false,
+  "vocab_size": 51200
+}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.38.1"
+}

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special_tokens_map.json

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