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Model: Jasonnn13/SmolLM2-FT-MyDataset
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM2-135M
+tags:
+- smol-course
+- module_1
+- trl
+- sft
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: SmolLM2-FT-MyDataset
+  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. -->
+
+# SmolLM2-FT-MyDataset
+
+This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9266
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0161        | 0.0982 | 50   | 1.0429          |
+| 0.9943        | 0.1965 | 100  | 1.0086          |
+| 0.953         | 0.2947 | 150  | 0.9906          |
+| 0.9561        | 0.3929 | 200  | 0.9802          |
+| 0.9585        | 0.4912 | 250  | 0.9699          |
+| 0.9394        | 0.5894 | 300  | 0.9597          |
+| 0.9284        | 0.6876 | 350  | 0.9535          |
+| 0.9237        | 0.7859 | 400  | 0.9462          |
+| 0.8945        | 0.8841 | 450  | 0.9402          |
+| 0.9043        | 0.9823 | 500  | 0.9348          |
+| 0.7479        | 1.0806 | 550  | 0.9421          |
+| 0.805         | 1.1788 | 600  | 0.9388          |
+| 0.7359        | 1.2770 | 650  | 0.9382          |
+| 0.7437        | 1.3752 | 700  | 0.9365          |
+| 0.7778        | 1.4735 | 750  | 0.9336          |
+| 0.7678        | 1.5717 | 800  | 0.9317          |
+| 0.7452        | 1.6699 | 850  | 0.9301          |
+| 0.7373        | 1.7682 | 900  | 0.9279          |
+| 0.738         | 1.8664 | 950  | 0.9269          |
+| 0.7513        | 1.9646 | 1000 | 0.9266          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "HuggingFaceTB/SmolLM2-135M",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 576,
+  "initializer_range": 0.041666666666666664,
+  "intermediate_size": 1536,
+  "is_llama_config": true,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 9,
+  "num_hidden_layers": 30,
+  "num_key_value_heads": 3,
+  "pad_token_id": 2,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_interleaved": false,
+  "rope_scaling": null,
+  "rope_theta": 100000,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "vocab_size": 49152
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 2,
+  "transformers_version": "4.44.2"
+}

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special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": {
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+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
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+    "single_word": false
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+}

tokenizer_config.json

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+    "<|im_start|>",
+    "<|im_end|>"
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+  "bos_token": "<|im_start|>",
+  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>\n' }}{% endif %}{{'<|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|>",
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+  "unk_token": "<|endoftext|>",
+  "vocab_size": 49152
+}

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