End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-Instruct-v0.1
+model-index:
+- name: mistral-7b-instruct-autextification2024
+  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. -->
+
+# mistral-7b-instruct-autextification2024
+
+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: 1.8230
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- 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: 0.03
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7076        | 0.0   | 10   | 2.0916          |
+| 1.54          | 0.01  | 20   | 2.0382          |
+| 2.0394        | 0.01  | 30   | 1.9987          |
+| 2.3388        | 0.01  | 40   | 1.9706          |
+| 3.0378        | 0.02  | 50   | 1.9866          |
+| 1.511         | 0.02  | 60   | 1.9453          |
+| 1.6499        | 0.02  | 70   | 1.9309          |
+| 1.9693        | 0.03  | 80   | 1.9168          |
+| 2.2389        | 0.03  | 90   | 1.9169          |
+| 2.7812        | 0.03  | 100  | 1.9367          |
+| 1.542         | 0.04  | 110  | 1.9202          |
+| 1.574         | 0.04  | 120  | 1.9088          |
+| 1.9916        | 0.04  | 130  | 1.8989          |
+| 2.081         | 0.05  | 140  | 1.8862          |
+| 2.768         | 0.05  | 150  | 1.9108          |
+| 1.4699        | 0.05  | 160  | 1.8984          |
+| 1.5366        | 0.06  | 170  | 1.8877          |
+| 2.0133        | 0.06  | 180  | 1.8812          |
+| 2.2186        | 0.06  | 190  | 1.8795          |
+| 2.7003        | 0.07  | 200  | 1.8882          |
+| 1.5169        | 0.07  | 210  | 1.8720          |
+| 1.5444        | 0.07  | 220  | 1.8801          |
+| 1.726         | 0.08  | 230  | 1.8732          |
+| 2.0348        | 0.08  | 240  | 1.8657          |
+| 2.6121        | 0.09  | 250  | 1.8702          |
+| 1.5258        | 0.09  | 260  | 1.8655          |
+| 1.5423        | 0.09  | 270  | 1.8733          |
+| 1.8095        | 0.1   | 280  | 1.8505          |
+| 2.0462        | 0.1   | 290  | 1.8455          |
+| 2.5442        | 0.1   | 300  | 1.8552          |
+| 1.4565        | 0.11  | 310  | 1.8586          |
+| 1.4278        | 0.11  | 320  | 1.8491          |
+| 1.7626        | 0.11  | 330  | 1.8358          |
+| 1.9469        | 0.12  | 340  | 1.8427          |
+| 2.5378        | 0.12  | 350  | 1.8580          |
+| 1.4248        | 0.12  | 360  | 1.8499          |
+| 1.586         | 0.13  | 370  | 1.8378          |
+| 1.9637        | 0.13  | 380  | 1.8311          |
+| 1.9733        | 0.13  | 390  | 1.8352          |
+| 2.6789        | 0.14  | 400  | 1.8543          |
+| 1.4521        | 0.14  | 410  | 1.8411          |
+| 1.4683        | 0.14  | 420  | 1.8428          |
+| 1.862         | 0.15  | 430  | 1.8331          |
+| 2.0159        | 0.15  | 440  | 1.8304          |
+| 2.5851        | 0.15  | 450  | 1.8385          |
+| 1.4911        | 0.16  | 460  | 1.8309          |
+| 1.5463        | 0.16  | 470  | 1.8262          |
+| 1.8454        | 0.16  | 480  | 1.8137          |
+| 2.0086        | 0.17  | 490  | 1.8143          |
+| 2.6965        | 0.17  | 500  | 1.8230          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.39.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 109069176

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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tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "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": false
+}

training_args.bin

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+size 4920