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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: mistralai/Mistral-Nemo-Instruct-2407
+tags:
+- axolotl
+- generated_from_trainer
+<!-- datasets:
+- ./train_data.jsonl-->
+model-index:
+- name: linabot
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.8.0`
+```yaml
+base_model: mistralai/Mistral-Nemo-Instruct-2407
+model_type: MistralForCausalLM
+hub_model_id: Alignment-Lab-AI/linabot
+strict: false
+chat_template: tokenizer_default
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+liger_layer_norm: true
+liger_fused_linear_cross_entropy: true
+datasets:
+  - path: "./train_data.jsonl"
+    type: chat_template
+    field_messages: messages
+    message_property_mappings:
+      role: role
+      content: content
+    roles_to_train: ['assistant']
+    train_on_eos: turn
+
+learning_rate: 2e-5
+lr_scheduler: cosine
+weight_decay: 0.03
+warmup_steps: 450
+dataset_prepared_path:
+val_set_size: 0.2
+output_dir: ./outputs/out
+
+sequence_len: 10400
+sample_packing: true
+pad_to_sequence_len: true
+eval_sample_packing: true
+
+wandb_project: linabot
+wandb_entity:
+wandb_watch: all
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 1
+micro_batch_size: 4
+num_epochs: 5
+optimizer: adalomo
+lr_scheduler: cosine
+learning_rate: 0.0002024
+flash_attention: true
+flash_attn_cross_entropy: false
+flash_attn_rms_norm: true
+flash_attn_fuse_qkv: false
+flash_attn_fuse_mlp: true
+torch_compile_mode: "max-autotune"
+bf16: auto
+tf32: false
+
+gradient_checkpointing: true
+resume_from_checkpoint:
+logging_steps: 1
+
+evals_per_epoch: 8
+saves_per_epoch: 1
+weight_decay: 0.03
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  pad_token: "<pad>"
+
+```
+
+</details><br>
+
+# linabot
+
+This model is a fine-tuned version of [mistralai/Mistral-Nemo-Instruct-2407](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407) on the ./train_data.jsonl dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4157
+
+## 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: 0.0002024
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use adalomo and the args are:
+No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 450
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.4415        | 0.0083 | 1    | 0.5382          |
+| 0.4958        | 0.125  | 15   | 0.5380          |
+| 0.371         | 0.25   | 30   | 0.5371          |
+| 0.4364        | 0.375  | 45   | 0.5347          |
+| 0.3777        | 0.5    | 60   | 0.5309          |
+| 0.3962        | 0.625  | 75   | 0.5244          |
+| 0.3341        | 0.75   | 90   | 0.5168          |
+| 0.3259        | 0.875  | 105  | 0.5070          |
+| 0.3238        | 1.0    | 120  | 0.4966          |
+| 0.36          | 1.125  | 135  | 0.4866          |
+| 0.264         | 1.25   | 150  | 0.4793          |
+| 0.3319        | 1.375  | 165  | 0.4714          |
+| 0.3731        | 1.5    | 180  | 0.4641          |
+| 0.325         | 1.625  | 195  | 0.4581          |
+| 0.3477        | 1.75   | 210  | 0.4526          |
+| 0.2851        | 1.875  | 225  | 0.4481          |
+| 0.2732        | 2.0    | 240  | 0.4416          |
+| 0.3367        | 2.125  | 255  | 0.4388          |
+| 0.2605        | 2.25   | 270  | 0.4366          |
+| 0.2725        | 2.375  | 285  | 0.4333          |
+| 0.3374        | 2.5    | 300  | 0.4291          |
+| 0.275         | 2.625  | 315  | 0.4250          |
+| 0.1803        | 2.75   | 330  | 0.4214          |
+| 0.3441        | 2.875  | 345  | 0.4189          |
+| 0.1505        | 3.0    | 360  | 0.4172          |
+| 0.2216        | 3.125  | 375  | 0.4186          |
+| 0.1833        | 3.25   | 390  | 0.4185          |
+| 0.2586        | 3.375  | 405  | 0.4153          |
+| 0.1754        | 3.5    | 420  | 0.4152          |
+| 0.2272        | 3.625  | 435  | 0.4136          |
+| 0.174         | 3.75   | 450  | 0.4129          |
+| 0.1794        | 3.875  | 465  | 0.4074          |
+| 0.1779        | 4.0    | 480  | 0.4086          |
+| 0.1752        | 4.125  | 495  | 0.4164          |
+| 0.1745        | 4.25   | 510  | 0.4173          |
+| 0.1314        | 4.375  | 525  | 0.4158          |
+| 0.1923        | 4.5    | 540  | 0.4155          |
+| 0.1848        | 4.625  | 555  | 0.4156          |
+| 0.1185        | 4.75   | 570  | 0.4155          |
+| 0.2255        | 4.875  | 585  | 0.4153          |
+| 0.1841        | 5.0    | 600  | 0.4157          |
+
+
+### Framework versions
+
+- Transformers 4.50.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.50.3",
+  "use_cache": false,
+  "vocab_size": 131072
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.50.3"
+}

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+}

special_tokens_map.json

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+{
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

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