End of training

README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.3
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: Mistral-7B-v0.3-sarcasm-scrolls-2
+  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+base_model: mistralai/Mistral-7B-v0.3
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+
+strict: false
+
+# dataset
+datasets:
+    - path: BEE-spoke-data/sarcasm-scrolls
+      type: completion # format from earlier
+      field: text # Optional[str] default: text, field to use for completion data
+val_set_size: 0.025
+
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+train_on_inputs: false
+group_by_length: false
+
+# WANDB
+wandb_project: sarcasm-scrolls
+wandb_entity: pszemraj
+wandb_watch: gradients
+wandb_name: Mistral-7B-v0.3-sarcasm-scrolls
+hub_model_id: pszemraj/Mistral-7B-v0.3-sarcasm-scrolls-2
+hub_strategy: every_save
+
+gradient_accumulation_steps: 16
+micro_batch_size: 1
+num_epochs: 2
+optimizer: adamw_torch_fused # paged_adamw_32bit
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+load_in_8bit: false
+load_in_4bit: false
+bf16: auto
+fp16:
+tf32: true
+
+torch_compile: true # requires >= torch 2.0, may sometimes cause problems
+torch_compile_backend: inductor # Optional[str]
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+logging_steps: 5
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 20
+# hyperparams for freq of evals, saving, etc
+evals_per_epoch: 4
+saves_per_epoch: 4
+save_safetensors: true
+save_total_limit: 1 # Checkpoints saved at a time
+output_dir: ./output-axolotl/output-model-theta
+resume_from_checkpoint:
+
+
+deepspeed:
+weight_decay: 0.04
+
+special_tokens:
+
+```
+
+</details><br>
+
+# Mistral-7B-v0.3-sarcasm-scrolls-2
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2825
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0082 | 1    | 2.3959          |
+| 2.412         | 0.2544 | 31   | 2.3363          |
+| 2.3866        | 0.5087 | 62   | 2.3277          |
+| 2.3204        | 0.7631 | 93   | 2.3012          |
+| 2.2843        | 1.0174 | 124  | 2.2682          |
+| 2.1748        | 1.2718 | 155  | 2.2425          |
+| 1.6885        | 1.2349 | 186  | 2.2849          |
+| 1.6834        | 1.4892 | 217  | 2.2825          |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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