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.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
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,61 @@
+---
+library_name: peft
+license: other
+base_model: meta-llama/Llama-3.2-1B-Instruct
+tags:
+- llama-factory
+- lora
+- generated_from_trainer
+model-index:
+- name: train_1B-Instruct_pippo_v6
+  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. -->
+
+# train_1B-Instruct_pippo_v6
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the pipo_persona dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6431
+- Num Input Tokens Seen: 300000
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- num_epochs: 4.0
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.52.4
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

adapter_config.json

@@ -0,0 +1,38 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Llama-3.2-1B-Instruct",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 48,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 24,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "down_proj",
+    "q_proj",
+    "gate_proj",
+    "v_proj",
+    "o_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a009cfb702a3432cece99f7fdd21a929e3c5bccba7e2ae9b332f7c161eb874c8
+size 63726400

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 4.0,
+    "eval_loss": 3.643085241317749,
+    "eval_runtime": 12.9097,
+    "eval_samples_per_second": 28.893,
+    "eval_steps_per_second": 14.485,
+    "num_input_tokens_seen": 300000,
+    "total_flos": 1780328448000000.0,
+    "train_loss": 0.7932832451101314,
+    "train_runtime": 895.9422,
+    "train_samples_per_second": 6.652,
+    "train_steps_per_second": 0.42
+}

chat_template.jinja

@@ -0,0 +1,93 @@
+{{- bos_token }}
+{%- if custom_tools is defined %}
+    {%- set tools = custom_tools %}
+{%- endif %}
+{%- if not tools_in_user_message is defined %}
+    {%- set tools_in_user_message = true %}
+{%- endif %}
+{%- if not date_string is defined %}
+    {%- if strftime_now is defined %}
+        {%- set date_string = strftime_now("%d %b %Y") %}
+    {%- else %}
+        {%- set date_string = "26 Jul 2024" %}
+    {%- endif %}
+{%- endif %}
+{%- if not tools is defined %}
+    {%- set tools = none %}
+{%- endif %}
+
+{#- This block extracts the system message, so we can slot it into the right place. #}
+{%- if messages[0]['role'] == 'system' %}
+    {%- set system_message = messages[0]['content']|trim %}
+    {%- set messages = messages[1:] %}
+{%- else %}
+    {%- set system_message = "" %}
+{%- endif %}
+
+{#- System message #}
+{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
+{%- if tools is not none %}
+    {{- "Environment: ipython\n" }}
+{%- endif %}
+{{- "Cutting Knowledge Date: December 2023\n" }}
+{{- "Today Date: " + date_string + "\n\n" }}
+{%- if tools is not none and not tools_in_user_message %}
+    {{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+{%- endif %}
+{{- system_message }}
+{{- "<|eot_id|>" }}
+
+{#- Custom tools are passed in a user message with some extra guidance #}
+{%- if tools_in_user_message and not tools is none %}
+    {#- Extract the first user message so we can plug it in here #}
+    {%- if messages | length != 0 %}
+        {%- set first_user_message = messages[0]['content']|trim %}
+        {%- set messages = messages[1:] %}
+    {%- else %}
+        {{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
+{%- endif %}
+    {{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
+    {{- "Given the following functions, please respond with a JSON for a function call " }}
+    {{- "with its proper arguments that best answers the given prompt.\n\n" }}
+    {{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
+    {{- "Do not use variables.\n\n" }}
+    {%- for t in tools %}
+        {{- t | tojson(indent=4) }}
+        {{- "\n\n" }}
+    {%- endfor %}
+    {{- first_user_message + "<|eot_id|>"}}
+{%- endif %}
+
+{%- for message in messages %}
+    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
+        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
+    {%- elif 'tool_calls' in message %}
+        {%- if not message.tool_calls|length == 1 %}
+            {{- raise_exception("This model only supports single tool-calls at once!") }}
+        {%- endif %}
+        {%- set tool_call = message.tool_calls[0].function %}
+        {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
+        {{- '{"name": "' + tool_call.name + '", ' }}
+        {{- '"parameters": ' }}
+        {{- tool_call.arguments | tojson }}
+        {{- "}" }}
+        {{- "<|eot_id|>" }}
+    {%- elif message.role == "tool" or message.role == "ipython" %}
+        {{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
+        {%- if message.content is mapping or message.content is iterable %}
+            {{- message.content | tojson }}
+        {%- else %}
+            {{- message.content }}
+        {%- endif %}
+        {{- "<|eot_id|>" }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
+{%- endif %}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 4.0,
+    "eval_loss": 3.643085241317749,
+    "eval_runtime": 12.9097,
+    "eval_samples_per_second": 28.893,
+    "eval_steps_per_second": 14.485,
+    "num_input_tokens_seen": 300000
+}

llamaboard_config.yaml

@@ -0,0 +1,86 @@
+top.booster: auto
+top.checkpoint_path:
+- train_1B-Instruct_pippo_v4
+top.finetuning_type: lora
+top.model_name: Llama-3.2-1B-Instruct
+top.quantization_bit: none
+top.quantization_method: bnb
+top.rope_scaling: none
+top.template: llama3
+train.additional_target: ''
+train.apollo_rank: 16
+train.apollo_scale: 32
+train.apollo_target: all
+train.apollo_update_interval: 200
+train.badam_mode: layer
+train.badam_switch_interval: 50
+train.badam_switch_mode: ascending
+train.badam_update_ratio: 0.05
+train.batch_size: 2
+train.compute_type: bf16
+train.create_new_adapter: false
+train.cutoff_len: 1024
+train.dataset:
+- pipo_persona
+train.dataset_dir: data
+train.ds_offload: false
+train.ds_stage: none
+train.enable_thinking: true
+train.extra_args: '{"optim": "adamw_torch"}'
+train.freeze_extra_modules: ''
+train.freeze_language_model: false
+train.freeze_multi_modal_projector: true
+train.freeze_trainable_layers: 2
+train.freeze_trainable_modules: all
+train.freeze_vision_tower: true
+train.galore_rank: 16
+train.galore_scale: 2
+train.galore_target: all
+train.galore_update_interval: 200
+train.gradient_accumulation_steps: 8
+train.image_max_pixels: 768*768
+train.image_min_pixels: 32*32
+train.learning_rate: 2e-5
+train.logging_steps: 5
+train.lora_alpha: 32
+train.lora_dropout: 0.1
+train.lora_rank: 16
+train.lora_target: q_proj,v_proj,o_proj,gate_proj,up_proj,down_proj
+train.loraplus_lr_ratio: 8
+train.lr_scheduler_type: cosine
+train.mask_history: false
+train.max_grad_norm: '1.0'
+train.max_samples: '1900'
+train.neat_packing: false
+train.neftune_alpha: 0
+train.num_train_epochs: '4'
+train.packing: false
+train.ppo_score_norm: false
+train.ppo_whiten_rewards: false
+train.pref_beta: 0.1
+train.pref_ftx: 0
+train.pref_loss: sigmoid
+train.report_to: none
+train.resize_vocab: false
+train.reward_model: []
+train.save_steps: 100
+train.swanlab_api_key: ''
+train.swanlab_link: ''
+train.swanlab_mode: cloud
+train.swanlab_project: llamafactory
+train.swanlab_run_name: ''
+train.swanlab_workspace: ''
+train.train_on_prompt: false
+train.training_stage: Supervised Fine-Tuning
+train.use_apollo: false
+train.use_badam: false
+train.use_dora: true
+train.use_galore: false
+train.use_llama_pro: false
+train.use_pissa: true
+train.use_rslora: true
+train.use_swanlab: false
+train.val_size: 0.2
+train.video_max_pixels: 256*256
+train.video_min_pixels: 16*16
+train.warmup_steps: 0

running_log.txt

@@ -0,0 +1,635 @@
+[INFO|2025-07-24 16:02:15] tokenization_utils_base.py:2023 >> loading file tokenizer.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/tokenizer.json
+[INFO|2025-07-24 16:02:15] tokenization_utils_base.py:2023 >> loading file tokenizer.model from cache at None
+[INFO|2025-07-24 16:02:15] tokenization_utils_base.py:2023 >> loading file added_tokens.json from cache at None
+[INFO|2025-07-24 16:02:15] tokenization_utils_base.py:2023 >> loading file special_tokens_map.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/special_tokens_map.json
+[INFO|2025-07-24 16:02:15] tokenization_utils_base.py:2023 >> loading file tokenizer_config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/tokenizer_config.json
+[INFO|2025-07-24 16:02:15] tokenization_utils_base.py:2023 >> loading file chat_template.jinja from cache at None
+[INFO|2025-07-24 16:02:16] tokenization_utils_base.py:2299 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
+[INFO|2025-07-24 16:02:17] configuration_utils.py:698 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/config.json
+[INFO|2025-07-24 16:02:17] configuration_utils.py:770 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}
+
+[INFO|2025-07-24 16:02:17] tokenization_utils_base.py:2023 >> loading file tokenizer.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/tokenizer.json
+[INFO|2025-07-24 16:02:17] tokenization_utils_base.py:2023 >> loading file tokenizer.model from cache at None
+[INFO|2025-07-24 16:02:17] tokenization_utils_base.py:2023 >> loading file added_tokens.json from cache at None
+[INFO|2025-07-24 16:02:17] tokenization_utils_base.py:2023 >> loading file special_tokens_map.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/special_tokens_map.json
+[INFO|2025-07-24 16:02:17] tokenization_utils_base.py:2023 >> loading file tokenizer_config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/tokenizer_config.json
+[INFO|2025-07-24 16:02:17] tokenization_utils_base.py:2023 >> loading file chat_template.jinja from cache at None
+[INFO|2025-07-24 16:02:17] tokenization_utils_base.py:2299 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
+[INFO|2025-07-24 16:02:17] logging.py:143 >> Add pad token: <|eot_id|>
+[INFO|2025-07-24 16:02:17] logging.py:143 >> Add <|eom_id|> to stop words.
+[INFO|2025-07-24 16:02:17] logging.py:143 >> Loading dataset pippo_dataset_v02_1900_lines.json...
+[INFO|2025-07-24 16:02:24] configuration_utils.py:698 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/config.json
+[INFO|2025-07-24 16:02:24] configuration_utils.py:770 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}
+
+[INFO|2025-07-24 16:02:24] logging.py:143 >> KV cache is disabled during training.
+[INFO|2025-07-24 16:03:23] modeling_utils.py:1151 >> loading weights file model.safetensors from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/model.safetensors
+[INFO|2025-07-24 16:03:23] modeling_utils.py:2241 >> Instantiating LlamaForCausalLM model under default dtype torch.bfloat16.
+[INFO|2025-07-24 16:03:23] configuration_utils.py:1135 >> Generate config GenerationConfig {
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "use_cache": false
+}
+
+[INFO|2025-07-24 16:03:25] modeling_utils.py:5131 >> All model checkpoint weights were used when initializing LlamaForCausalLM.
+
+[INFO|2025-07-24 16:03:25] modeling_utils.py:5139 >> All the weights of LlamaForCausalLM were initialized from the model checkpoint at meta-llama/Llama-3.2-1B-Instruct.
+If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
+[INFO|2025-07-24 16:03:25] configuration_utils.py:1090 >> loading configuration file generation_config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/generation_config.json
+[INFO|2025-07-24 16:03:25] configuration_utils.py:1135 >> Generate config GenerationConfig {
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9
+}
+
+[INFO|2025-07-24 16:03:25] logging.py:143 >> Gradient checkpointing enabled.
+[INFO|2025-07-24 16:03:25] logging.py:143 >> Using torch SDPA for faster training and inference.
+[INFO|2025-07-24 16:03:25] logging.py:143 >> Upcasting trainable params to float32.
+[INFO|2025-07-24 16:03:25] logging.py:143 >> Fine-tuning method: DoRA
+[INFO|2025-07-24 16:03:27] logging.py:143 >> Loaded adapter(s): saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v4
+[INFO|2025-07-24 16:03:27] logging.py:143 >> trainable params: 15,925,248 || all params: 1,251,739,648 || trainable%: 1.2722
+[INFO|2025-07-24 16:03:27] trainer.py:756 >> Using auto half precision backend
+[INFO|2025-07-24 16:03:27] logging.py:143 >> Using LoRA+ optimizer with loraplus lr ratio 8.00.
+[INFO|2025-07-24 16:03:28] trainer.py:2409 >> ***** Running training *****
+[INFO|2025-07-24 16:03:28] trainer.py:2410 >>   Num examples = 1,490
+[INFO|2025-07-24 16:03:28] trainer.py:2411 >>   Num Epochs = 4
+[INFO|2025-07-24 16:03:28] trainer.py:2412 >>   Instantaneous batch size per device = 2
+[INFO|2025-07-24 16:03:28] trainer.py:2415 >>   Total train batch size (w. parallel, distributed & accumulation) = 16
+[INFO|2025-07-24 16:03:28] trainer.py:2416 >>   Gradient Accumulation steps = 8
+[INFO|2025-07-24 16:03:28] trainer.py:2417 >>   Total optimization steps = 376
+[INFO|2025-07-24 16:03:28] trainer.py:2418 >>   Number of trainable parameters = 15,925,248
+[INFO|2025-07-24 16:03:28] logging.py:143 >> Initial PiSSA adapter will be saved at: saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/pissa_init.
+[INFO|2025-07-24 16:03:28] configuration_utils.py:698 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/config.json
+[INFO|2025-07-24 16:03:28] configuration_utils.py:770 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}
+
+[INFO|2025-07-24 16:03:43] logging.py:143 >> {'loss': 1.1748, 'learning_rate': 1.9994e-05, 'epoch': 0.05, 'throughput': 263.90}
+[INFO|2025-07-24 16:03:54] logging.py:143 >> {'loss': 1.2634, 'learning_rate': 1.9972e-05, 'epoch': 0.11, 'throughput': 304.64}
+[INFO|2025-07-24 16:04:06] logging.py:143 >> {'loss': 1.4367, 'learning_rate': 1.9932e-05, 'epoch': 0.16, 'throughput': 315.40}
+[INFO|2025-07-24 16:04:18] logging.py:143 >> {'loss': 1.3167, 'learning_rate': 1.9874e-05, 'epoch': 0.21, 'throughput': 323.64}
+[INFO|2025-07-24 16:04:30] logging.py:143 >> {'loss': 1.4144, 'learning_rate': 1.9800e-05, 'epoch': 0.27, 'throughput': 325.70}
+[INFO|2025-07-24 16:04:41] logging.py:143 >> {'loss': 1.3944, 'learning_rate': 1.9708e-05, 'epoch': 0.32, 'throughput': 331.60}
+[INFO|2025-07-24 16:04:52] logging.py:143 >> {'loss': 1.3946, 'learning_rate': 1.9599e-05, 'epoch': 0.38, 'throughput': 334.75}
+[INFO|2025-07-24 16:05:04] logging.py:143 >> {'loss': 1.3827, 'learning_rate': 1.9474e-05, 'epoch': 0.43, 'throughput': 336.48}
+[INFO|2025-07-24 16:05:16] logging.py:143 >> {'loss': 1.4509, 'learning_rate': 1.9332e-05, 'epoch': 0.48, 'throughput': 336.58}
+[INFO|2025-07-24 16:05:29] logging.py:143 >> {'loss': 1.3347, 'learning_rate': 1.9174e-05, 'epoch': 0.54, 'throughput': 335.59}
+[INFO|2025-07-24 16:05:41] logging.py:143 >> {'loss': 1.3834, 'learning_rate': 1.8999e-05, 'epoch': 0.59, 'throughput': 335.37}
+[INFO|2025-07-24 16:05:53] logging.py:143 >> {'loss': 1.4679, 'learning_rate': 1.8809e-05, 'epoch': 0.64, 'throughput': 335.60}
+[INFO|2025-07-24 16:06:04] logging.py:143 >> {'loss': 1.3973, 'learning_rate': 1.8604e-05, 'epoch': 0.70, 'throughput': 336.68}
+[INFO|2025-07-24 16:06:17] logging.py:143 >> {'loss': 1.5408, 'learning_rate': 1.8384e-05, 'epoch': 0.75, 'throughput': 335.03}
+[INFO|2025-07-24 16:06:28] logging.py:143 >> {'loss': 1.4967, 'learning_rate': 1.8149e-05, 'epoch': 0.81, 'throughput': 335.55}
+[INFO|2025-07-24 16:06:40] logging.py:143 >> {'loss': 1.4644, 'learning_rate': 1.7900e-05, 'epoch': 0.86, 'throughput': 336.30}
+[INFO|2025-07-24 16:06:52] logging.py:143 >> {'loss': 1.4226, 'learning_rate': 1.7637e-05, 'epoch': 0.91, 'throughput': 336.02}
+[INFO|2025-07-24 16:07:03] logging.py:143 >> {'loss': 1.4847, 'learning_rate': 1.7360e-05, 'epoch': 0.97, 'throughput': 336.26}
+[INFO|2025-07-24 16:07:13] logging.py:143 >> {'loss': 1.2927, 'learning_rate': 1.7071e-05, 'epoch': 1.01, 'throughput': 336.91}
+[INFO|2025-07-24 16:07:23] logging.py:143 >> {'loss': 0.8505, 'learning_rate': 1.6770e-05, 'epoch': 1.06, 'throughput': 338.48}
+[INFO|2025-07-24 16:07:23] trainer.py:4327 >> 
+***** Running Evaluation *****
+[INFO|2025-07-24 16:07:23] trainer.py:4329 >>   Num examples = 373
+[INFO|2025-07-24 16:07:23] trainer.py:4332 >>   Batch size = 2
+[INFO|2025-07-24 16:07:37] trainer.py:3993 >> Saving model checkpoint to saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-100
+[INFO|2025-07-24 16:07:37] configuration_utils.py:698 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/config.json
+[INFO|2025-07-24 16:07:37] configuration_utils.py:770 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}
+
+[INFO|2025-07-24 16:07:38] tokenization_utils_base.py:2356 >> chat template saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-100/chat_template.jinja
+[INFO|2025-07-24 16:07:38] tokenization_utils_base.py:2525 >> tokenizer config file saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-100/tokenizer_config.json
+[INFO|2025-07-24 16:07:38] tokenization_utils_base.py:2534 >> Special tokens file saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-100/special_tokens_map.json
+[INFO|2025-07-24 16:07:51] logging.py:143 >> {'loss': 0.7497, 'learning_rate': 1.6456e-05, 'epoch': 1.12, 'throughput': 318.10}
+[INFO|2025-07-24 16:08:02] logging.py:143 >> {'loss': 0.7761, 'learning_rate': 1.6132e-05, 'epoch': 1.17, 'throughput': 319.79}
+[INFO|2025-07-24 16:08:14] logging.py:143 >> {'loss': 0.7997, 'learning_rate': 1.5796e-05, 'epoch': 1.23, 'throughput': 321.09}
+[INFO|2025-07-24 16:08:25] logging.py:143 >> {'loss': 0.8275, 'learning_rate': 1.5451e-05, 'epoch': 1.28, 'throughput': 322.08}
+[INFO|2025-07-24 16:08:37] logging.py:143 >> {'loss': 0.8599, 'learning_rate': 1.5096e-05, 'epoch': 1.33, 'throughput': 322.83}
+[INFO|2025-07-24 16:08:49] logging.py:143 >> {'loss': 0.9179, 'learning_rate': 1.4732e-05, 'epoch': 1.39, 'throughput': 323.42}
+[INFO|2025-07-24 16:09:00] logging.py:143 >> {'loss': 0.8255, 'learning_rate': 1.4360e-05, 'epoch': 1.44, 'throughput': 324.25}
+[INFO|2025-07-24 16:09:11] logging.py:143 >> {'loss': 0.8806, 'learning_rate': 1.3981e-05, 'epoch': 1.49, 'throughput': 325.46}
+[INFO|2025-07-24 16:09:23] logging.py:143 >> {'loss': 0.8366, 'learning_rate': 1.3594e-05, 'epoch': 1.55, 'throughput': 326.15}
+[INFO|2025-07-24 16:09:34] logging.py:143 >> {'loss': 0.8567, 'learning_rate': 1.3201e-05, 'epoch': 1.60, 'throughput': 327.21}
+[INFO|2025-07-24 16:09:45] logging.py:143 >> {'loss': 0.8939, 'learning_rate': 1.2803e-05, 'epoch': 1.66, 'throughput': 328.25}
+[INFO|2025-07-24 16:09:56] logging.py:143 >> {'loss': 0.9650, 'learning_rate': 1.2399e-05, 'epoch': 1.71, 'throughput': 329.28}
+[INFO|2025-07-24 16:10:07] logging.py:143 >> {'loss': 0.8915, 'learning_rate': 1.1992e-05, 'epoch': 1.76, 'throughput': 330.41}
+[INFO|2025-07-24 16:10:18] logging.py:143 >> {'loss': 0.9085, 'learning_rate': 1.1581e-05, 'epoch': 1.82, 'throughput': 331.65}
+[INFO|2025-07-24 16:10:29] logging.py:143 >> {'loss': 0.8831, 'learning_rate': 1.1167e-05, 'epoch': 1.87, 'throughput': 332.58}
+[INFO|2025-07-24 16:10:41] logging.py:143 >> {'loss': 1.0271, 'learning_rate': 1.0751e-05, 'epoch': 1.92, 'throughput': 332.56}
+[INFO|2025-07-24 16:10:52] logging.py:143 >> {'loss': 0.9636, 'learning_rate': 1.0334e-05, 'epoch': 1.98, 'throughput': 333.29}
+[INFO|2025-07-24 16:11:02] logging.py:143 >> {'loss': 0.7085, 'learning_rate': 9.9164e-06, 'epoch': 2.02, 'throughput': 333.30}
+[INFO|2025-07-24 16:11:13] logging.py:143 >> {'loss': 0.5186, 'learning_rate': 9.4989e-06, 'epoch': 2.08, 'throughput': 333.84}
+[INFO|2025-07-24 16:11:25] logging.py:143 >> {'loss': 0.5023, 'learning_rate': 9.0822e-06, 'epoch': 2.13, 'throughput': 334.41}
+[INFO|2025-07-24 16:11:25] trainer.py:4327 >> 
+***** Running Evaluation *****
+[INFO|2025-07-24 16:11:25] trainer.py:4329 >>   Num examples = 373
+[INFO|2025-07-24 16:11:25] trainer.py:4332 >>   Batch size = 2
+[INFO|2025-07-24 16:11:38] trainer.py:3993 >> Saving model checkpoint to saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-200
+[INFO|2025-07-24 16:11:39] configuration_utils.py:698 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/config.json
+[INFO|2025-07-24 16:11:39] configuration_utils.py:770 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}
+
+[INFO|2025-07-24 16:11:39] tokenization_utils_base.py:2356 >> chat template saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-200/chat_template.jinja
+[INFO|2025-07-24 16:11:40] tokenization_utils_base.py:2525 >> tokenizer config file saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-200/tokenizer_config.json
+[INFO|2025-07-24 16:11:40] tokenization_utils_base.py:2534 >> Special tokens file saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-200/special_tokens_map.json
+[INFO|2025-07-24 16:11:53] logging.py:143 >> {'loss': 0.5145, 'learning_rate': 8.6671e-06, 'epoch': 2.18, 'throughput': 323.15}
+[INFO|2025-07-24 16:12:05] logging.py:143 >> {'loss': 0.4971, 'learning_rate': 8.2544e-06, 'epoch': 2.24, 'throughput': 323.77}
+[INFO|2025-07-24 16:12:16] logging.py:143 >> {'loss': 0.5042, 'learning_rate': 7.8447e-06, 'epoch': 2.29, 'throughput': 324.87}
+[INFO|2025-07-24 16:12:27] logging.py:143 >> {'loss': 0.5423, 'learning_rate': 7.4387e-06, 'epoch': 2.34, 'throughput': 325.53}
+[INFO|2025-07-24 16:12:39] logging.py:143 >> {'loss': 0.5913, 'learning_rate': 7.0372e-06, 'epoch': 2.40, 'throughput': 325.95}
+[INFO|2025-07-24 16:12:51] logging.py:143 >> {'loss': 0.5403, 'learning_rate': 6.6409e-06, 'epoch': 2.45, 'throughput': 326.13}
+[INFO|2025-07-24 16:13:02] logging.py:143 >> {'loss': 0.5301, 'learning_rate': 6.2505e-06, 'epoch': 2.50, 'throughput': 326.79}
+[INFO|2025-07-24 16:13:13] logging.py:143 >> {'loss': 0.5417, 'learning_rate': 5.8666e-06, 'epoch': 2.56, 'throughput': 327.37}
+[INFO|2025-07-24 16:13:25] logging.py:143 >> {'loss': 0.5358, 'learning_rate': 5.4899e-06, 'epoch': 2.61, 'throughput': 327.79}
+[INFO|2025-07-24 16:13:37] logging.py:143 >> {'loss': 0.5249, 'learning_rate': 5.1211e-06, 'epoch': 2.67, 'throughput': 328.11}
+[INFO|2025-07-24 16:13:48] logging.py:143 >> {'loss': 0.5134, 'learning_rate': 4.7608e-06, 'epoch': 2.72, 'throughput': 328.62}
+[INFO|2025-07-24 16:14:00] logging.py:143 >> {'loss': 0.5160, 'learning_rate': 4.4096e-06, 'epoch': 2.77, 'throughput': 328.73}
+[INFO|2025-07-24 16:14:11] logging.py:143 >> {'loss': 0.5611, 'learning_rate': 4.0682e-06, 'epoch': 2.83, 'throughput': 329.02}
+[INFO|2025-07-24 16:14:22] logging.py:143 >> {'loss': 0.5084, 'learning_rate': 3.7371e-06, 'epoch': 2.88, 'throughput': 329.85}
+[INFO|2025-07-24 16:14:33] logging.py:143 >> {'loss': 0.5458, 'learning_rate': 3.4170e-06, 'epoch': 2.93, 'throughput': 330.35}
+[INFO|2025-07-24 16:14:43] logging.py:143 >> {'loss': 0.5205, 'learning_rate': 3.1084e-06, 'epoch': 2.99, 'throughput': 331.42}
+[INFO|2025-07-24 16:14:52] logging.py:143 >> {'loss': 0.4058, 'learning_rate': 2.8118e-06, 'epoch': 3.03, 'throughput': 332.17}
+[INFO|2025-07-24 16:15:04] logging.py:143 >> {'loss': 0.3859, 'learning_rate': 2.5277e-06, 'epoch': 3.09, 'throughput': 332.42}
+[INFO|2025-07-24 16:15:14] logging.py:143 >> {'loss': 0.3724, 'learning_rate': 2.2567e-06, 'epoch': 3.14, 'throughput': 333.25}
+[INFO|2025-07-24 16:15:25] logging.py:143 >> {'loss': 0.3916, 'learning_rate': 1.9991e-06, 'epoch': 3.19, 'throughput': 333.86}
+[INFO|2025-07-24 16:15:25] trainer.py:4327 >> 
+***** Running Evaluation *****
+[INFO|2025-07-24 16:15:25] trainer.py:4329 >>   Num examples = 373
+[INFO|2025-07-24 16:15:25] trainer.py:4332 >>   Batch size = 2
+[INFO|2025-07-24 16:15:37] trainer.py:3993 >> Saving model checkpoint to saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-300
+[INFO|2025-07-24 16:15:38] configuration_utils.py:698 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/config.json
+[INFO|2025-07-24 16:15:38] configuration_utils.py:770 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}
+
+[INFO|2025-07-24 16:15:38] tokenization_utils_base.py:2356 >> chat template saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-300/chat_template.jinja
+[INFO|2025-07-24 16:15:39] tokenization_utils_base.py:2525 >> tokenizer config file saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-300/tokenizer_config.json
+[INFO|2025-07-24 16:15:39] tokenization_utils_base.py:2534 >> Special tokens file saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-300/special_tokens_map.json
+[INFO|2025-07-24 16:15:51] logging.py:143 >> {'loss': 0.3676, 'learning_rate': 1.7556e-06, 'epoch': 3.25, 'throughput': 327.35}
+[INFO|2025-07-24 16:16:03] logging.py:143 >> {'loss': 0.3798, 'learning_rate': 1.5264e-06, 'epoch': 3.30, 'throughput': 327.69}
+[INFO|2025-07-24 16:16:13] logging.py:143 >> {'loss': 0.3606, 'learning_rate': 1.3120e-06, 'epoch': 3.35, 'throughput': 328.40}
+[INFO|2025-07-24 16:16:24] logging.py:143 >> {'loss': 0.3938, 'learning_rate': 1.1128e-06, 'epoch': 3.41, 'throughput': 329.00}
+[INFO|2025-07-24 16:16:35] logging.py:143 >> {'loss': 0.3605, 'learning_rate': 9.2909e-07, 'epoch': 3.46, 'throughput': 329.68}
+[INFO|2025-07-24 16:16:45] logging.py:143 >> {'loss': 0.3781, 'learning_rate': 7.6120e-07, 'epoch': 3.52, 'throughput': 330.66}
+[INFO|2025-07-24 16:16:55] logging.py:143 >> {'loss': 0.3794, 'learning_rate': 6.0944e-07, 'epoch': 3.57, 'throughput': 331.22}
+[INFO|2025-07-24 16:17:06] logging.py:143 >> {'loss': 0.3526, 'learning_rate': 4.7406e-07, 'epoch': 3.62, 'throughput': 332.12}
+[INFO|2025-07-24 16:17:16] logging.py:143 >> {'loss': 0.3846, 'learning_rate': 3.5531e-07, 'epoch': 3.68, 'throughput': 332.56}
+[INFO|2025-07-24 16:17:27] logging.py:143 >> {'loss': 0.3855, 'learning_rate': 2.5338e-07, 'epoch': 3.73, 'throughput': 333.19}
+[INFO|2025-07-24 16:17:37] logging.py:143 >> {'loss': 0.3955, 'learning_rate': 1.6847e-07, 'epoch': 3.78, 'throughput': 333.69}
+[INFO|2025-07-24 16:17:48] logging.py:143 >> {'loss': 0.3400, 'learning_rate': 1.0071e-07, 'epoch': 3.84, 'throughput': 334.24}
+[INFO|2025-07-24 16:17:58] logging.py:143 >> {'loss': 0.3584, 'learning_rate': 5.0222e-08, 'epoch': 3.89, 'throughput': 334.96}
+[INFO|2025-07-24 16:18:09] logging.py:143 >> {'loss': 0.3608, 'learning_rate': 1.7099e-08, 'epoch': 3.94, 'throughput': 335.57}
+[INFO|2025-07-24 16:18:20] logging.py:143 >> {'loss': 0.3659, 'learning_rate': 1.3962e-09, 'epoch': 4.00, 'throughput': 336.16}
+[INFO|2025-07-24 16:18:20] trainer.py:3993 >> Saving model checkpoint to saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-376
+[INFO|2025-07-24 16:18:20] configuration_utils.py:698 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/config.json
+[INFO|2025-07-24 16:18:20] configuration_utils.py:770 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}
+
+[INFO|2025-07-24 16:18:21] tokenization_utils_base.py:2356 >> chat template saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-376/chat_template.jinja
+[INFO|2025-07-24 16:18:21] tokenization_utils_base.py:2525 >> tokenizer config file saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-376/tokenizer_config.json
+[INFO|2025-07-24 16:18:21] tokenization_utils_base.py:2534 >> Special tokens file saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/checkpoint-376/special_tokens_map.json
+[INFO|2025-07-24 16:18:23] trainer.py:2676 >> 
+
+Training completed. Do not forget to share your model on huggingface.co/models =)
+
+
+[INFO|2025-07-24 16:18:24] logging.py:143 >> Converted PiSSA adapter will be saved at: saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/pissa_converted.
+[INFO|2025-07-24 16:18:24] configuration_utils.py:698 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/config.json
+[INFO|2025-07-24 16:18:24] configuration_utils.py:770 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}
+
+[INFO|2025-07-24 16:18:25] configuration_utils.py:698 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/config.json
+[INFO|2025-07-24 16:18:25] configuration_utils.py:770 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}
+
+[INFO|2025-07-24 16:18:26] configuration_utils.py:698 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/config.json
+[INFO|2025-07-24 16:18:26] configuration_utils.py:770 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}
+
+[INFO|2025-07-24 16:18:28] trainer.py:3993 >> Saving model checkpoint to saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6
+[INFO|2025-07-24 16:18:28] configuration_utils.py:698 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Llama-3.2-1B-Instruct/snapshots/9213176726f574b556790deb65791e0c5aa438b6/config.json
+[INFO|2025-07-24 16:18:28] configuration_utils.py:770 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 16,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 32.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 128256
+}
+
+[INFO|2025-07-24 16:18:29] tokenization_utils_base.py:2356 >> chat template saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/chat_template.jinja
+[INFO|2025-07-24 16:18:29] tokenization_utils_base.py:2525 >> tokenizer config file saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/tokenizer_config.json
+[INFO|2025-07-24 16:18:29] tokenization_utils_base.py:2534 >> Special tokens file saved in saves/Llama-3.2-1B-Instruct/lora/train_1B-Instruct_pippo_v6/special_tokens_map.json
+[WARNING|2025-07-24 16:18:30] logging.py:148 >> No metric eval_accuracy to plot.
+[INFO|2025-07-24 16:18:30] trainer.py:4327 >> 
+***** Running Evaluation *****
+[INFO|2025-07-24 16:18:30] trainer.py:4329 >>   Num examples = 373
+[INFO|2025-07-24 16:18:30] trainer.py:4332 >>   Batch size = 2
+[INFO|2025-07-24 16:18:43] modelcard.py:450 >> Dropping the following result as it does not have all the necessary fields:
+{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}

special_tokens_map.json

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+  },
+  "additional_special_tokens": [
+    "<|eom_id|>"
+  ],
+  "bos_token": "<|begin_of_text|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|eot_id|>",
+  "extra_special_tokens": {},
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "pad_token": "<|eot_id|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "PreTrainedTokenizer"
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 4.0,
+    "num_input_tokens_seen": 300000,
+    "total_flos": 1780328448000000.0,
+    "train_loss": 0.7932832451101314,
+    "train_runtime": 895.9422,
+    "train_samples_per_second": 6.652,
+    "train_steps_per_second": 0.42
+}

trainer_log.jsonl

@@ -0,0 +1,79 @@
+{"current_steps": 5, "total_steps": 376, "loss": 1.1748, "lr": 1.9994415637302545e-05, "epoch": 0.053691275167785234, "percentage": 1.33, "elapsed_time": "0:00:15", "remaining_time": "0:19:07", "throughput": 263.9, "total_tokens": 4080}
+{"current_steps": 10, "total_steps": 376, "loss": 1.2634, "lr": 1.9971739852847514e-05, "epoch": 0.10738255033557047, "percentage": 2.66, "elapsed_time": "0:00:26", "remaining_time": "0:16:10", "throughput": 304.64, "total_tokens": 8080}
+{"current_steps": 15, "total_steps": 376, "loss": 1.4367, "lr": 1.9931663163249744e-05, "epoch": 0.1610738255033557, "percentage": 3.99, "elapsed_time": "0:00:38", "remaining_time": "0:15:27", "throughput": 315.4, "total_tokens": 12160}
+{"current_steps": 20, "total_steps": 376, "loss": 1.3167, "lr": 1.9874255503213154e-05, "epoch": 0.21476510067114093, "percentage": 5.32, "elapsed_time": "0:00:50", "remaining_time": "0:14:51", "throughput": 323.64, "total_tokens": 16208}
+{"current_steps": 25, "total_steps": 376, "loss": 1.4144, "lr": 1.979961705036587e-05, "epoch": 0.2684563758389262, "percentage": 6.65, "elapsed_time": "0:01:02", "remaining_time": "0:14:33", "throughput": 325.7, "total_tokens": 20256}
+{"current_steps": 30, "total_steps": 376, "loss": 1.3944, "lr": 1.9707878050448074e-05, "epoch": 0.3221476510067114, "percentage": 7.98, "elapsed_time": "0:01:13", "remaining_time": "0:14:05", "throughput": 331.6, "total_tokens": 24304}
+{"current_steps": 35, "total_steps": 376, "loss": 1.3946, "lr": 1.9599198590030308e-05, "epoch": 0.37583892617449666, "percentage": 9.31, "elapsed_time": "0:01:24", "remaining_time": "0:13:46", "throughput": 334.75, "total_tokens": 28384}
+{"current_steps": 40, "total_steps": 376, "loss": 1.3827, "lr": 1.947376831715892e-05, "epoch": 0.42953020134228187, "percentage": 10.64, "elapsed_time": "0:01:36", "remaining_time": "0:13:30", "throughput": 336.48, "total_tokens": 32480}
+{"current_steps": 45, "total_steps": 376, "loss": 1.4509, "lr": 1.9331806110416027e-05, "epoch": 0.48322147651006714, "percentage": 11.97, "elapsed_time": "0:01:48", "remaining_time": "0:13:20", "throughput": 336.58, "total_tokens": 36608}
+{"current_steps": 50, "total_steps": 376, "loss": 1.3347, "lr": 1.9173559696971594e-05, "epoch": 0.5369127516778524, "percentage": 13.3, "elapsed_time": "0:02:01", "remaining_time": "0:13:08", "throughput": 335.59, "total_tokens": 40608}
+{"current_steps": 55, "total_steps": 376, "loss": 1.3834, "lr": 1.899930522029408e-05, "epoch": 0.5906040268456376, "percentage": 14.63, "elapsed_time": "0:02:13", "remaining_time": "0:12:57", "throughput": 335.37, "total_tokens": 44672}
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+{"current_steps": 70, "total_steps": 376, "loss": 1.5408, "lr": 1.8383670630322864e-05, "epoch": 0.7516778523489933, "percentage": 18.62, "elapsed_time": "0:02:49", "remaining_time": "0:12:19", "throughput": 335.03, "total_tokens": 56672}
+{"current_steps": 75, "total_steps": 376, "loss": 1.4967, "lr": 1.8148695778588034e-05, "epoch": 0.8053691275167785, "percentage": 19.95, "elapsed_time": "0:03:00", "remaining_time": "0:12:04", "throughput": 335.55, "total_tokens": 60608}
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+{"current_steps": 300, "total_steps": 376, "loss": 0.3916, "lr": 1.9991418491859383e-06, "epoch": 3.193288590604027, "percentage": 79.79, "elapsed_time": "0:11:57", "remaining_time": "0:03:01", "throughput": 333.86, "total_tokens": 239424}
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