End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.1
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- AiAF/KJV-LLM-pretraining.jsonl
+model-index:
+- name: KJV-LLM-Pretrained-V1.0
+  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: `0.6.0`
+```yaml
+base_model: mistralai/Mistral-7B-v0.1
+# optionally might have model_type or tokenizer_type
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+# Automatically upload checkpoint and final model to HF
+hub_model_id: AiAF/KJV-LLM-Pretrained-V1.0
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: AiAF/KJV-LLM-pretraining.jsonl
+    type: completion
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/out/KJV-LLM-Pretrained-V1.0
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+eval_sample_packing: false
+
+wandb_project: "LLM-Pretraining"
+wandb_entity:
+wandb_watch: "all"
+wandb_name: "KJV-LLM-Pretrained-V1.0"
+wandb_log_model: "false"
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.000005
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+
+```
+
+</details><br>
+
+# KJV-LLM-Pretrained-V1.0
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the AiAF/KJV-LLM-pretraining.jsonl dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0901
+
+## 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: 5e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 4.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0809        | 0.1333 | 1    | 0.0975          |
+| 0.0878        | 0.2667 | 2    | 0.0963          |
+| 0.3153        | 0.5333 | 4    | 0.0909          |
+| 0.077         | 0.8    | 6    | 0.0854          |
+| 0.2377        | 1.0    | 8    | 0.0820          |
+| 0.0509        | 1.2667 | 10   | 0.0858          |
+| 0.0429        | 1.5333 | 12   | 0.0862          |
+| 0.3496        | 1.8    | 14   | 0.0872          |
+| 0.0426        | 2.0    | 16   | 0.0895          |
+| 0.0337        | 2.2667 | 18   | 0.0888          |
+| 0.0348        | 2.5333 | 20   | 0.0905          |
+| 0.0852        | 2.8    | 22   | 0.0902          |
+| 0.0317        | 3.0    | 24   | 0.0902          |
+| 0.0304        | 3.2667 | 26   | 0.0900          |
+| 0.0242        | 3.5333 | 28   | 0.0901          |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.48.3"
+}