Model save

README.md

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+---
+base_model: OrionStarAI/Orion-14B-Chat
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: rinko-test
+  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. -->
+
+# rinko-test
+
+This model is a fine-tuned version of [OrionStarAI/Orion-14B-Chat](https://huggingface.co/OrionStarAI/Orion-14B-Chat) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1707
+
+## 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: 2e-07
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3348        | 0.99  | 62   | 0.2483          |
+| 0.2659        | 2.0   | 125  | 0.1883          |
+| 0.2447        | 2.98  | 186  | 0.1707          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.15.2

all_results.json

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+{
+    "epoch": 2.98,
+    "train_loss": 0.3222779505034929,
+    "train_runtime": 18917.8994,
+    "train_samples": 5850,
+    "train_samples_per_second": 0.079,
+    "train_steps_per_second": 0.01
+}

config.json

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+{
+  "_name_or_path": "OrionStarAI/Orion-14B-Chat",
+  "architectures": [
+    "OrionForCausalLM"
+  ],
+  "attention_bias": false,
+  "auto_map": {
+    "AutoConfig": "OrionStarAI/Orion-14B-Chat--configuration_orion.OrionConfig",
+    "AutoModelForCausalLM": "OrionStarAI/Orion-14B-Chat--modeling_orion.OrionForCausalLM"
+  },
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 15360,
+  "max_position_embeddings": 4096,
+  "max_sequence_length": 4096,
+  "model_type": "orion",
+  "num_attention_heads": 40,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 40,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": false,
+  "vocab_size": 84608
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "max_new_tokens": 1024,
+  "pad_token_id": 0,
+  "repetition_penalty": 1.05,
+  "temperature": 0.3,
+  "top_k": 5,
+  "top_p": 0.9,
+  "transformers_version": "4.38.2"
+}

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