README.md

---
license: mit
base_model: DeepMount00/Mistral-Ita-7b
tags:
- axolotl
- generated_from_trainer
- psycology
- companion
model-index:
- name: Samantha-ita-v0.1
  results: []
datasets:
- WasamiKirua/samantha-ita
- WasamiKirua/psycology-dataset-ita
language:
- it
---

<!-- 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: `0.4.0`
```yaml
base_model: DeepMount00/Mistral-Ita-7b
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer

load_in_8bit: false
load_in_4bit: false
strict: false

datasets:
  - path: /workspace/datasets/samantha-ita-sharegpt.jsonl
    type: sharegpt
    field: conversations
  - path: /workspace/datasets/psycology-dataset-gpt-ita.jsonl
    type: sharegpt
    field: conversations

chat_template: chatml

hub_model_id: Samantha-ita-v0.1
    
dataset_prepared_path:
val_set_size: 0.05
output_dir: ./out

sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true
eval_sample_packing: false

wandb_project: samantha-mistral7b
wandb_entity:
wandb_watch:
wandb_name: Samantha-ita-v0.1
wandb_log_model:

gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 2
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.000006

# 0.000006 OK better curve
# 0.0005 OK

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:
  bos_token: "<s>"
  eos_token: "<|im_end|>"
  unk_token: "<unk>"
tokens:
  - "<|im_start|>"
  - "<|im_end|>"

```

</details><br>

# Samantha-ita-v0.1

<img src="https://i.postimg.cc/YC6Tf65H/00005-2244133494.png" alt="cover" border="0" width="1024px">

This model is a fine-tuned version of [DeepMount00/Mistral-Ita-7b](https://huggingface.co/DeepMount00/Mistral-Ita-7b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7069

## Model description

Samantha is a fine-tuned Italian version based on Eric Hartford's Samantha. 
For this, I utilized the pre-trained Mistral 7B version. 
The model performs excellently! Please take a look at the datasets used.

## Intended uses & limitations

Sure, here's the corrected and improved version:

Samantha is a proficient companion who understands and speaks Italian fluently. 
She has undergone training on various topics. In addition to the original Samantha 
dataset translated with GPT-4, I have also incorporated a psychology conversations dataset 
to further enrich Samantha's knowledge in the field of psychology."

## Chat Template
```
<|im_start|>system
YOUR PROMPT<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```

## Quantized Versions:

GGUF availabile here: https://huggingface.co/WasamiKirua/Samantha-ita-mistral-v0.1-GGUF

## DPO Version

DPO trained version available here: https://huggingface.co/WasamiKirua/Samantha-ita-mistral-v0.1-DPO


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 6e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9261        | 0.01  | 1    | 1.8998          |
| 0.8902        | 0.25  | 28   | 0.8267          |
| 0.8422        | 0.5   | 56   | 0.7604          |
| 0.8338        | 0.75  | 84   | 0.7299          |
| 0.8397        | 1.0   | 112  | 0.7136          |
| 0.6859        | 1.22  | 140  | 0.7131          |
| 0.6707        | 1.47  | 168  | 0.7082          |
| 0.7041        | 1.72  | 196  | 0.7069          |
| 0.6936        | 1.97  | 224  | 0.7069          |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.0
- Datasets 2.15.0
- Tokenizers 0.15.0