End of training

README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-Instruct-v0.1
+tags:
+- generated_from_trainer
+model-index:
+- name: radia-fine-tune-mistral-7b-lora
+  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. -->
+
+# radia-fine-tune-mistral-7b-lora
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4616
+
+## 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: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.3
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.038         | 0.09  | 5    | 0.7930          |
+| 0.8312        | 0.17  | 10   | 0.7245          |
+| 0.6972        | 0.26  | 15   | 0.6791          |
+| 0.6848        | 0.34  | 20   | 0.6456          |
+| 0.6457        | 0.43  | 25   | 0.6159          |
+| 0.6261        | 0.52  | 30   | 0.5927          |
+| 0.5639        | 0.6   | 35   | 0.5718          |
+| 0.5723        | 0.69  | 40   | 0.5540          |
+| 0.5473        | 0.78  | 45   | 0.5389          |
+| 0.5209        | 0.86  | 50   | 0.5284          |
+| 0.4591        | 0.95  | 55   | 0.5177          |
+| 0.5233        | 1.03  | 60   | 0.5080          |
+| 0.4805        | 1.12  | 65   | 0.5030          |
+| 0.3604        | 1.21  | 70   | 0.4987          |
+| 0.3927        | 1.29  | 75   | 0.4907          |
+| 0.3934        | 1.38  | 80   | 0.4849          |
+| 0.3859        | 1.47  | 85   | 0.4761          |
+| 0.3779        | 1.55  | 90   | 0.4748          |
+| 0.3929        | 1.64  | 95   | 0.4655          |
+| 0.3973        | 1.72  | 100  | 0.4635          |
+| 0.3512        | 1.81  | 105  | 0.4599          |
+| 0.4027        | 1.9   | 110  | 0.4575          |
+| 0.3917        | 1.98  | 115  | 0.4504          |
+| 0.3069        | 2.07  | 120  | 0.4667          |
+| 0.3203        | 2.16  | 125  | 0.4569          |
+| 0.2807        | 2.24  | 130  | 0.4615          |
+| 0.2471        | 2.33  | 135  | 0.4612          |
+| 0.2724        | 2.41  | 140  | 0.4553          |
+| 0.2976        | 2.5   | 145  | 0.4665          |
+| 0.2873        | 2.59  | 150  | 0.4551          |
+| 0.2968        | 2.67  | 155  | 0.4568          |
+| 0.2577        | 2.76  | 160  | 0.4564          |
+| 0.2569        | 2.84  | 165  | 0.4496          |
+| 0.2167        | 2.93  | 170  | 0.4486          |
+| 0.2785        | 3.02  | 175  | 0.4518          |
+| 0.176         | 3.1   | 180  | 0.4798          |
+| 0.1909        | 3.19  | 185  | 0.4588          |
+| 0.1883        | 3.28  | 190  | 0.4768          |
+| 0.1806        | 3.36  | 195  | 0.4693          |
+| 0.1998        | 3.45  | 200  | 0.4732          |
+| 0.1573        | 3.53  | 205  | 0.4745          |
+| 0.1908        | 3.62  | 210  | 0.4627          |
+| 0.2042        | 3.71  | 215  | 0.4695          |
+| 0.1918        | 3.79  | 220  | 0.4620          |
+| 0.2163        | 3.88  | 225  | 0.4574          |
+| 0.2189        | 3.97  | 230  | 0.4616          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.1",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "o_proj",
+    "gate_proj",
+    "q_proj",
+    "k_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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+size 92317600

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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+size 493443

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token + ' ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": true
+}

training_args.bin

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+size 4664