Save model at global step 100

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+huggingface/tokenizer.json filter=lfs diff=lfs merge=lfs -text

config.yaml

@@ -0,0 +1,129 @@
+data:
+  tokenizer: null
+  train_files: dataset128000/train.parquet
+  val_files: dataset128000/test.parquet
+  prompt_key: prompt
+  max_prompt_length: 256
+  max_response_length: 1024
+  train_batch_size: 128
+  val_batch_size: 640
+  return_raw_input_ids: false
+  return_raw_chat: false
+  shuffle: true
+  apply_chat_template: false
+actor_rollout_ref:
+  hybrid_engine: true
+  model:
+    path: Qwen/Qwen2.5-3B
+    revision: main
+    external_lib: null
+    override_config: {}
+    enable_gradient_checkpointing: true
+    use_remove_padding: false
+    save_hf_repo_id: RyanYr/countdown-qwen2.5-3B-brm-5e-7
+  actor:
+    loss: brm
+    qlearn:
+      use_replaybuffer: true
+      replaybuffer_size: 128
+      replaybuffer_sample_size: 128
+      replaybuffer_update_size: 128
+      replaybuffer_update_reward_threshold: 1.0
+    strategy: fsdp
+    ppo_mini_batch_size: 64
+    ppo_micro_batch_size: 4
+    ppo_micro_batch_size_per_gpu: null
+    use_dynamic_bsz: false
+    ppo_max_token_len_per_gpu: 16384
+    grad_clip: 1.0
+    clip_ratio: 0.2
+    entropy_coeff: 0.001
+    use_kl_loss: false
+    kl_loss_coef: 0.001
+    kl_loss_type: low_var_kl
+    ppo_epochs: 1
+    shuffle: false
+    ulysses_sequence_parallel_size: 1
+    optim:
+      lr: 5.0e-07
+      lr_warmup_steps_ratio: 0.0
+      min_lr_ratio: null
+      warmup_style: constant
+      total_training_steps: 1000
+    fsdp_config:
+      wrap_policy:
+        min_num_params: 0
+      param_offload: false
+      optimizer_offload: false
+      fsdp_size: -1
+  ref:
+    fsdp_config:
+      param_offload: false
+      wrap_policy:
+        min_num_params: 0
+    log_prob_micro_batch_size: 2
+    log_prob_micro_batch_size_per_gpu: null
+    log_prob_use_dynamic_bsz: false
+    log_prob_max_token_len_per_gpu: 16384
+    ulysses_sequence_parallel_size: 1
+  rollout:
+    name: vllm
+    temperature: 1.0
+    top_k: -1
+    top_p: 1
+    prompt_length: 256
+    response_length: 1024
+    dtype: bfloat16
+    gpu_memory_utilization: 0.4
+    ignore_eos: false
+    enforce_eager: true
+    free_cache_engine: true
+    load_format: dummy_dtensor
+    tensor_model_parallel_size: 2
+    max_num_batched_tokens: 8192
+    max_num_seqs: 1024
+    log_prob_micro_batch_size: 4
+    log_prob_micro_batch_size_per_gpu: null
+    log_prob_use_dynamic_bsz: false
+    log_prob_max_token_len_per_gpu: 16384
+    disable_log_stats: true
+    enable_chunked_prefill: true
+    do_sample: true
+    'n': 1
+    seed: 42
+reward_model:
+  reward_manager: naive
+  extra_rwfn_argdict:
+    format_score: 0.1
+    score: 1.0
+algorithm:
+  kl_penalty: kl
+  kl_ctrl:
+    type: fixed
+    kl_coef: 0.1
+trainer:
+  total_epochs: 1
+  total_training_steps: null
+  project_name: value-LLM
+  experiment_name: brm-countdown-qwen2.5-3B-brm
+  logger:
+  - wandb
+  val_generations_to_log_to_wandb: 0
+  nnodes: 1
+  n_gpus_per_node: 2
+  save_freq: 100
+  resume_mode: auto
+  resume_from_path: false
+  test_freq: 20
+  critic_warmup: 0
+  default_hdfs_dir: null
+  remove_previous_ckpt_in_save: true
+  del_local_ckpt_after_load: false
+  default_local_dir: ./BRM
+  hf_token: null
+  resume_from_hf:
+    enable: false
+    hf_repo_id: null
+    hf_token: null
+    revision: main
+  val_before_train: false

data.pt

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+size 6948493

extra_state_world_size_2_rank_0.pt

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extra_state_world_size_2_rank_1.pt

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huggingface/added_tokens.json

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+  "<tool_call>": 151657,
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+  "<|fim_prefix|>": 151659,
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+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

huggingface/config.json

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+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "Qwen/Qwen2.5-3B",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 36,
+  "model_type": "qwen2",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.49.0",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

huggingface/special_tokens_map.json

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+{
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+    "<|im_end|>",
+    "<|object_ref_start|>",
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+    "<|quad_end|>",
+    "<|vision_start|>",
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+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
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+  "eos_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

huggingface/tokenizer.json

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+size 11421896

huggingface/tokenizer_config.json

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+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
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+      "lstrip": false,
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+    "<|vision_pad|>",
+    "<|image_pad|>",
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+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
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+}

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