---
base_model: unsloth/mistral-7b-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
license: apache-2.0
language:
- en
datasets:
- KasparZ/mtext-071024
---

# Uploaded  model

- **Developed by:** KasparZ
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit

- max_seq_length = 4096
- new_tokens = ["<|s|>", "<|e|>"]

- **LoRA:**
- r = 128, 
- target_modules = ["q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj"],
- lora_alpha = 32,
- lora_dropout = 0, # Supports any, but = 0 is optimized
- bias = "none", # Supports any, but = "none" is optimized
- use_gradient_checkpointing = "unsloth", # True or "unsloth" for very long context
- random_state = 3407,
- use_rslora = False,  # We support rank stabilized LoRA
- loftq_config = None, # And LoftQ

- **Training:**
- per_device_train_batch_size = 1,
- gradient_accumulation_steps = 8,
- warmup_ratio = 0.1,
- num_train_epochs = 1, # on Google Colab: x2 sequentially
- learning_rate = 5e-5,
- embedding_learning_rate = 5e-6,
- fp16 = not is_bfloat16_supported(),
- bf16 = is_bfloat16_supported(),
- logging_steps = 1,
- optim = "adamw_8bit",
- weight_decay = 0.00,
- lr_scheduler_type = "cosine",
- seed = 3407,
- output_dir = "outputs",
- report_to = "none"

- **dataset include EOS at the end of each chunk. Might results strange behaviour**
- 
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)