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Model: ReDiX/SmolLM2-360M-Instruct-ita Source: Original Platform
2026-07-08 11:57:11 +08:00
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--- a/README.md
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+---
+library_name: transformers
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM2-360M
+tags:
+- generated_from_trainer
+- axolotl
+datasets:
+- ReDiX/everyday-conversations-ita
+- ReDiX/DataForge
+language:
+- it
+- en
+pipeline_tag: text-generation
+---
+
+[<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: `0.5.0`
+```yaml
+base_model: HuggingFaceTB/SmolLM2-360M
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: ./dataforge
+    type: chat_template
+
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+  
+  - path: HuggingFaceTB/smol-smoltalk
+    type: chat_template
+
+    field_messages: messages
+    message_field_role: role
+    message_field_content: content
+
+chat_template: chatml
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.1
+output_dir: ./outputs/smollm360m
+
+sequence_len: 8192
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: axolotl
+wandb_entity:
+wandb_watch:
+wandb_name: smollm2
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 4
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 1.0e-03
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: 
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 5
+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:
+  pad_token: "<|im_end|>"
+  eos_token: "<|im_end|>"
+```
+
+</details><br>
+
+# SmolLM2 360M Instruct ITA
+
+This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-360M](https://huggingface.co/HuggingFaceTB/SmolLM2-360M) on the [smol-smoltalk](https://huggingface.co/datasets/HuggingFaceTB/smol-smoltalk) dataset and on the [ReDiX/DataForge](https://huggingface.co/datasets/ReDiX/DataForge).
+Our datasets is a mixture of open source italian datasets and [ReDiX/everyday-conversations-ita](https://huggingface.co/datasets/ReDiX/everyday-conversations-ita)
+It achieves the following results on the evaluation set:
+- Loss: 0.8925
+
+## Model description
+
+This model is an experiment to test out the [ReDiX/everyday-conversations-ita](https://huggingface.co/datasets/ReDiX/everyday-conversations-ita) dataset.
+
+## Intended uses & limitations
+
+Simple and very basic chat in italian and english
+
+## Training and evaluation data
+
+| Model  |  m_mmlu_it | arc_it  | hellaswag_it  |
+|:------:|:----------:|:-------:|:-------------:|
+| Qwen2.5-0.5-Instruct | **37.05** | 27.54 | 35.73 |
+| ReDiX/SmolLM2-360M-Instruct-ita | 24.94 | **28.40** | **35.96** |
+
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use adamw_bnb_8bit 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
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0003 | 1    | 1.3366          |
+| 1.0595        | 0.2501 | 774  | 1.0840          |
+| 1.0194        | 0.5002 | 1548 | 1.0139          |
+| 1.0075        | 0.7504 | 2322 | 0.9701          |
+| 1.0286        | 1.0005 | 3096 | 0.9269          |
+| 0.7871        | 1.2506 | 3870 | 0.9111          |
+| 0.7481        | 1.5007 | 4644 | 0.8960          |
+| 0.7429        | 1.7508 | 5418 | 0.8925          |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3
--- a/config.json
+++ b/config.json
@@ -0,0 +1,32 @@
+{
+  "_name_or_path": "HuggingFaceTB/SmolLM2-360M",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 960,
+  "initializer_range": 0.02,
+  "intermediate_size": 2560,
+  "is_llama_config": true,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 15,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 5,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_interleaved": false,
+  "rope_scaling": null,
+  "rope_theta": 100000,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.2",
+  "use_cache": false,
+  "vocab_size": 49152
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "do_sample": true,
+  "eos_token_id": 0,
+  "transformers_version": "4.46.2"
+}
--- a/merges.txt
+++ b/merges.txt
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--- a/special_tokens_map.json
+++ b/special_tokens_map.json
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+{
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
+    "<issue_comment>",
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+    "single_word": false
+  }
+}
--- a/tokenizer.json
+++ b/tokenizer.json
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
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+      "special": true
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+  },
+  "additional_special_tokens": [
+    "<|endoftext|>",
+    "<|im_start|>",
+    "<|im_end|>",
+    "<repo_name>",
+    "<reponame>",
+    "<file_sep>",
+    "<filename>",
+    "<gh_stars>",
+    "<issue_start>",
+    "<issue_comment>",
+    "<issue_closed>",
+    "<jupyter_start>",
+    "<jupyter_text>",
+    "<jupyter_code>",
+    "<jupyter_output>",
+    "<jupyter_script>",
+    "<empty_output>"
+  ],
+  "bos_token": "<|endoftext|>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{%- if messages[0]['role'] == 'system' %}{{ '<|im_start|>' + messages[0]['role'] + '\n' + messages[0]['content'] + '<|im_end|>\n' }}{%- else %}{{ '<|im_start|>system\nSei un assistente AI utile ed intelligente di nome ReDiX<|im_end|>\n' }}{%- endif %}{% for message in messages %}{{ '<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>\n' }}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "model_max_length": 8192,
+  "pad_token": "<|im_end|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}
--- a/vocab.json
+++ b/vocab.json