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/pretraining.jsonl
+model-index:
+- name: UFOs-Pretraining-V1.1
+  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/UFOs-Pretraining-V1.1
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: AiAF/pretraining.jsonl
+    type: completion
+
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/out/v1.1
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+eval_sample_packing: false
+
+max_steps: 100000
+
+wandb_project: "UFO_LLM_Pretraining"
+wandb_entity:
+wandb_watch: "all"
+wandb_name: "UFO_LLM_Pretraining-V1.1"
+wandb_log_model: "false"
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 10
+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>
+
+# UFOs-Pretraining-V1.1
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the AiAF/pretraining.jsonl dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7822
+
+## 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
+- training_steps: 90
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.7686        | 0.1111 | 1    | 1.6895          |
+| 2.0582        | 0.3333 | 3    | 1.6884          |
+| 1.9134        | 0.6667 | 6    | 1.6791          |
+| 1.8262        | 1.0    | 9    | 1.6672          |
+| 1.875         | 1.3333 | 12   | 1.6578          |
+| 1.8751        | 1.6667 | 15   | 1.6501          |
+| 1.8375        | 2.0    | 18   | 1.6471          |
+| 1.7018        | 2.3333 | 21   | 1.6587          |
+| 1.398         | 2.6667 | 24   | 1.6508          |
+| 1.6955        | 3.0    | 27   | 1.6577          |
+| 1.4222        | 3.3333 | 30   | 1.6812          |
+| 1.264         | 3.6667 | 33   | 1.6664          |
+| 1.4261        | 4.0    | 36   | 1.6827          |
+| 1.2406        | 4.3333 | 39   | 1.7099          |
+| 1.2105        | 4.6667 | 42   | 1.7099          |
+| 1.3733        | 5.0    | 45   | 1.7162          |
+| 1.2441        | 5.3333 | 48   | 1.7490          |
+| 1.1755        | 5.6667 | 51   | 1.7440          |
+| 1.2253        | 6.0    | 54   | 1.7394          |
+| 1.1223        | 6.3333 | 57   | 1.7542          |
+| 1.1837        | 6.6667 | 60   | 1.7679          |
+| 0.9838        | 7.0    | 63   | 1.7670          |
+| 1.1613        | 7.3333 | 66   | 1.7693          |
+| 1.1775        | 7.6667 | 69   | 1.7753          |
+| 0.8999        | 8.0    | 72   | 1.7796          |
+| 1.1617        | 8.3333 | 75   | 1.7813          |
+| 1.1119        | 8.6667 | 78   | 1.7819          |
+| 1.1191        | 9.0    | 81   | 1.7825          |
+| 1.0606        | 9.3333 | 84   | 1.7821          |
+| 1.1476        | 9.6667 | 87   | 1.7820          |
+| 1.0837        | 10.0   | 90   | 1.7822          |
+
+
+### 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"
+}