archit11/qwen-finetuned-model

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: qwen-ft
+  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. -->
+
+# qwen-ft
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.6514
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 5
+- training_steps: 800
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 7.7492        | 0.0920 | 50   | 7.5711          |
+| 7.4321        | 0.1841 | 100  | 7.3186          |
+| 7.0377        | 0.2761 | 150  | 6.9218          |
+| 6.8861        | 0.3682 | 200  | 6.7542          |
+| 6.7161        | 0.4602 | 250  | 6.5817          |
+| 6.4542        | 0.5522 | 300  | 6.3050          |
+| 6.3839        | 0.6443 | 350  | 6.2909          |
+| 6.1342        | 0.7363 | 400  | 6.0133          |
+| 5.9798        | 0.8283 | 450  | 5.8894          |
+| 5.9043        | 0.9204 | 500  | 5.8061          |
+| 5.889         | 1.0124 | 550  | 5.7376          |
+| 5.7778        | 1.1045 | 600  | 5.6900          |
+| 5.8077        | 1.1965 | 650  | 5.6643          |
+| 5.7363        | 1.2885 | 700  | 5.6539          |
+| 5.7524        | 1.3806 | 750  | 5.6515          |
+| 5.7289        | 1.4726 | 800  | 5.6514          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0
+- Datasets 3.0.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "Qwen/Qwen2.5-0.5B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.44.2"
+}

model.safetensors

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+size 988097824

runs/Sep28_12-41-04_60e29f4f98b8/events.out.tfevents.1727527266.60e29f4f98b8.23.0

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training_args.bin

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