End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: mistralai/Mistral-Nemo-Base-2407
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- AiAF/Pretraining-SCPWiki-032025-7B-Instruct-pretraining.jsonl
+model-index:
+- name: Pretraining-SCPWiki-032025-12B-Instruct
+  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.dev0`
+```yaml
+base_model: mistralai/Mistral-Nemo-Base-2407
+# optionally might have model_type or tokenizer_type
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+# Automatically upload checkpoint and final model to HF
+hub_model_id: AiAF/Pretraining-SCPWiki-032025-12B-Instruct
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: AiAF/Pretraining-SCPWiki-032025-7B-Instruct-pretraining.jsonl
+    type: completion
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.1
+output_dir: ./outputs/out/Pretraining-SCPWiki-032025-12B-V1
+
+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: "Pretraining-SCPWiki-032025-12B-V1"
+wandb_log_model: "false"
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 1
+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
+
+loss_watchdog_threshold: 5.0
+loss_watchdog_patience: 3
+
+save_total_limit: 30
+warmup_steps: 10
+evals_per_epoch: 20
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 20
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  eos_token: "<|im_end|>"
+  pad_token: "<pad>"
+  bos_token: "<s>"
+  unk_token: "<unk>"
+tokens:
+  - "<|im_start|>"
+
+
+```
+
+</details><br>
+
+# Pretraining-SCPWiki-032025-12B-Instruct
+
+This model is a fine-tuned version of [mistralai/Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407) on the AiAF/Pretraining-SCPWiki-032025-7B-Instruct-pretraining.jsonl dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5467
+
+## 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: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.1576        | 0.0018 | 1    | 3.5143          |
+| 1.4459        | 0.0511 | 29   | 1.6213          |
+| 1.4502        | 0.1022 | 58   | 1.6003          |
+| 1.5545        | 0.1534 | 87   | 1.5870          |
+| 1.3624        | 0.2045 | 116  | 1.5779          |
+| 1.3053        | 0.2556 | 145  | 1.5691          |
+| 1.5688        | 0.3067 | 174  | 1.5635          |
+| 1.7144        | 0.3579 | 203  | 1.5594          |
+| 1.5199        | 0.4090 | 232  | 1.5550          |
+| 1.2483        | 0.4601 | 261  | 1.5516          |
+| 1.4053        | 0.5112 | 290  | 1.5493          |
+| 1.4238        | 0.5624 | 319  | 1.5486          |
+| 1.4939        | 0.6135 | 348  | 1.5477          |
+| 1.4072        | 0.6646 | 377  | 1.5472          |
+| 1.6039        | 0.7157 | 406  | 1.5469          |
+| 1.3127        | 0.7669 | 435  | 1.5468          |
+| 1.4754        | 0.8180 | 464  | 1.5466          |
+| 1.5992        | 0.8691 | 493  | 1.5467          |
+| 1.421         | 0.9202 | 522  | 1.5467          |
+| 1.2666        | 0.9714 | 551  | 1.5467          |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- 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": "4.49.0"
+}