End of training

README.md

@@ -0,0 +1,60 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-1.5B
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: instruct-rl-Qwen2.5-1.5B-databricks-dolly-15k
+  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. -->
+
+# instruct-rl-Qwen2.5-1.5B-databricks-dolly-15k
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) on the generator dataset.
+
+## 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: 8
+- eval_batch_size: 16
+- seed: 1337
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

added_tokens.json

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config.json

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+{
+  "_name_or_path": "Qwen/Qwen2.5-1.5B",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151643,
+  "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_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151670
+}

generation_config.json

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+  "max_new_tokens": 2048,
+  "pad_token_id": 151643,
+  "transformers_version": "4.44.2"
+}

model.safetensors

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+oid sha256:6782defb6d4ce96375ce403995215965490ae20229394e0d60d5174a97fac554
+size 3086649992

special_tokens_map.json

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tokenizer_config.json

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+    "<|context|>",
+    "<|response|>",
+    "<|category|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% set special_tokens = {'end': '<|end|>', 'instruction': '<|instruction|>', 'context': '<|context|>', 'response': '<|response|>', 'category': '<|category|>'} %}\n{% set bos_token = None %}\n{% set eos_token = '<|endoftext|>' %}\n{{ bos_token -}}\n{% for message in messages %}\n{{ special_tokens[message.role] }} {{ message.content }}{{ special_tokens['end'] -}}\n{% endfor %}\n{% if generation_role %}\n{{ special_tokens[generation_role] -}}\n{% else %}\n{{ eos_token -}}\n{% endif %}",
+  "clean_up_tokenization_spaces": false,
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+}

training_args.bin

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