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--- |
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license: mit |
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base_model: DeepMount00/Mistral-Ita-7b |
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tags: |
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- axolotl |
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- generated_from_trainer |
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- psycology |
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- companion |
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model-index: |
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- name: Samantha-ita-v0.1 |
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results: [] |
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datasets: |
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- WasamiKirua/samantha-ita |
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- WasamiKirua/psycology-dataset-ita |
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language: |
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- it |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.0` |
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```yaml |
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base_model: DeepMount00/Mistral-Ita-7b |
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model_type: MistralForCausalLM |
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tokenizer_type: LlamaTokenizer |
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load_in_8bit: false |
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load_in_4bit: false |
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strict: false |
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datasets: |
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- path: /workspace/datasets/samantha-ita-sharegpt.jsonl |
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type: sharegpt |
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field: conversations |
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- path: /workspace/datasets/psycology-dataset-gpt-ita.jsonl |
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type: sharegpt |
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field: conversations |
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chat_template: chatml |
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hub_model_id: Samantha-ita-v0.1 |
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dataset_prepared_path: |
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val_set_size: 0.05 |
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output_dir: ./out |
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sequence_len: 8192 |
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sample_packing: true |
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pad_to_sequence_len: true |
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eval_sample_packing: false |
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wandb_project: samantha-mistral7b |
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wandb_entity: |
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wandb_watch: |
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wandb_name: Samantha-ita-v0.1 |
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wandb_log_model: |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 2 |
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num_epochs: 2 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.000006 |
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# 0.000006 OK better curve |
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# 0.0005 OK |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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warmup_steps: 10 |
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evals_per_epoch: 4 |
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eval_table_size: |
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eval_max_new_tokens: 128 |
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saves_per_epoch: 1 |
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debug: |
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deepspeed: |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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bos_token: "<s>" |
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eos_token: "<|im_end|>" |
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unk_token: "<unk>" |
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tokens: |
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- "<|im_start|>" |
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- "<|im_end|>" |
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``` |
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</details><br> |
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# Samantha-ita-v0.1 |
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<img src="https://i.postimg.cc/YC6Tf65H/00005-2244133494.png" alt="cover" border="0" width="1024px"> |
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This model is a fine-tuned version of [DeepMount00/Mistral-Ita-7b](https://huggingface.co/DeepMount00/Mistral-Ita-7b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7069 |
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## Model description |
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Samantha is a fine-tuned Italian version based on Eric Hartford's Samantha. |
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For this, I utilized the pre-trained Mistral 7B version. |
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The model performs excellently! Please take a look at the datasets used. |
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## Intended uses & limitations |
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Sure, here's the corrected and improved version: |
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Samantha is a proficient companion who understands and speaks Italian fluently. |
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She has undergone training on various topics. In addition to the original Samantha |
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dataset translated with GPT-4, I have also incorporated a psychology conversations dataset |
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to further enrich Samantha's knowledge in the field of psychology." |
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## Chat Template |
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``` |
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<|im_start|>system |
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YOUR PROMPT<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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``` |
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## Quantized Versions: |
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GGUF availabile here: https://huggingface.co/WasamiKirua/Samantha-ita-mistral-v0.1-GGUF |
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## DPO Version |
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DPO trained version available here: https://huggingface.co/WasamiKirua/Samantha-ita-mistral-v0.1-DPO |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 6e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.9261 | 0.01 | 1 | 1.8998 | |
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| 0.8902 | 0.25 | 28 | 0.8267 | |
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| 0.8422 | 0.5 | 56 | 0.7604 | |
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| 0.8338 | 0.75 | 84 | 0.7299 | |
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| 0.8397 | 1.0 | 112 | 0.7136 | |
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| 0.6859 | 1.22 | 140 | 0.7131 | |
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| 0.6707 | 1.47 | 168 | 0.7082 | |
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| 0.7041 | 1.72 | 196 | 0.7069 | |
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| 0.6936 | 1.97 | 224 | 0.7069 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
