[2025-11-28 18:02:44,648] [DEBUG] [axolotl.utils.config.log_gpu_memory_usage:127] [PID:3633661] baseline 0.000GB ()
[2025-11-28 18:02:44,648] [INFO] [axolotl.cli.config.load_cfg:248] [PID:3633661] config:
{
  "activation_offloading": false,
  "adapter": "lora",
  "axolotl_config_path": "/config.yaml",
  "base_model": "mistralai/Mistral-Nemo-Instruct-2407",
  "base_model_config": "mistralai/Mistral-Nemo-Instruct-2407",
  "batch_size": 9,
  "bf16": true,
  "bnb_config_kwargs": {
    "bnb_4bit_compute_dtype": "bfloat16",
    "bnb_4bit_quant_type": "nf4",
    "bnb_4bit_use_double_quant": true
  },
  "capabilities": {
    "bf16": true,
    "compute_capability": "sm_90",
    "fp8": false,
    "n_gpu": 1,
    "n_node": 1
  },
  "chat_template": "tokenizer_default",
  "context_parallel_size": 1,
  "dataloader_num_workers": 1,
  "dataloader_pin_memory": true,
  "dataloader_prefetch_factor": 256,
  "dataset_num_proc": 96,
  "datasets": [
    {
      "chat_template": "tokenizer_default",
      "conversation": "messages",
      "message_property_mappings": {
        "content": "content",
        "role": "role"
      },
      "path": "TeamPV/distractors-onr-v2",
      "split": "train",
      "trust_remote_code": false,
      "type": "chat_template"
    }
  ],
  "ddp": false,
  "device": "cuda:0",
  "dion_rank_fraction": 1.0,
  "dion_rank_multiple_of": 1,
  "env_capabilities": {
    "torch_version": "2.8.0"
  },
  "eval_batch_size": 14,
  "eval_causal_lm_metrics": [
    "sacrebleu",
    "comet",
    "ter",
    "chrf"
  ],
  "eval_max_new_tokens": 128,
  "eval_sample_packing": false,
  "eval_steps": 0.05,
  "eval_table_size": 0,
  "evals_per_epoch": 5,
  "experimental_skip_move_to_device": true,
  "flash_attention": true,
  "fp16": false,
  "gradient_accumulation_steps": 1,
  "gradient_checkpointing": true,
  "gradient_checkpointing_kwargs": {
    "use_reentrant": false
  },
  "hf_use_auth_token": true,
  "hub_model_id": "TeamPV/mistral-nemo-onr-sft",
  "hub_strategy": "every_save",
  "include_tkps": true,
  "is_mistral_derived_model": true,
  "learning_rate": 5e-05,
  "lisa_layers_attribute": "model.layers",
  "load_best_model_at_end": true,
  "load_in_4bit": false,
  "load_in_8bit": false,
  "local_rank": 0,
  "logging_steps": 50,
  "lora_alpha": 64,
  "lora_dropout": 0.05,
  "lora_r": 32,
  "lora_target_modules": [
    "q_proj",
    "k_proj",
    "v_proj",
    "o_proj",
    "up_proj",
    "down_proj",
    "gate_proj"
  ],
  "loraplus_lr_embedding": 1e-06,
  "lr_scheduler": "cosine",
  "mean_resizing_embeddings": false,
  "micro_batch_size": 9,
  "model_config_type": "mistral",
  "num_epochs": 4.0,
  "optimizer": "adamw_bnb_8bit",
  "otel_metrics_host": "localhost",
  "otel_metrics_port": 8000,
  "output_dir": "/model_out/mistral-nemo-12b_sft",
  "pad_to_sequence_len": true,
  "peft_use_dora": false,
  "pretrain_multipack_attn": true,
  "profiler_steps_start": 0,
  "qlora_sharded_model_loading": false,
  "ray_num_workers": 1,
  "resources_per_worker": {
    "GPU": 1
  },
  "sample_packing": false,
  "sample_packing_bin_size": 200,
  "sample_packing_group_size": 100000,
  "save_first_step": true,
  "save_only_model": false,
  "save_safetensors": true,
  "save_steps": 0.125,
  "save_total_limit": 10,
  "saves_per_epoch": 2,
  "seed": 42,
  "sequence_len": 3000,
  "shuffle_before_merging_datasets": false,
  "shuffle_merged_datasets": true,
  "skip_prepare_dataset": false,
  "special_tokens": {
    "pad_token": "</s>"
  },
  "streaming_multipack_buffer_size": 10000,
  "strict": false,
  "tensor_parallel_size": 1,
  "tf32": true,
  "tiled_mlp_use_original_mlp": true,
  "tokenizer_config": "mistralai/Mistral-Nemo-Instruct-2407",
  "tokenizer_save_jinja_files": true,
  "torch_dtype": "torch.bfloat16",
  "train_on_inputs": false,
  "trl": {
    "log_completions": false,
    "mask_truncated_completions": false,
    "ref_model_mixup_alpha": 0.9,
    "ref_model_sync_steps": 64,
    "scale_rewards": true,
    "sync_ref_model": false,
    "use_vllm": false,
    "vllm_server_host": "0.0.0.0",
    "vllm_server_port": 8000
  },
  "use_otel_metrics": false,
  "use_ray": false,
  "use_tensorboard": true,
  "val_set_size": 0.01,
  "vllm": {
    "device": "auto",
    "dtype": "auto",
    "gpu_memory_utilization": 0.9,
    "host": "0.0.0.0",
    "port": 8000
  },
  "warmup_ratio": 0.1,
  "weight_decay": 0.0,
  "world_size": 1
}
[2025-11-28 18:02:45,557] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:278] [PID:3633661] EOS: 2 / </s>
[2025-11-28 18:02:45,557] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:279] [PID:3633661] BOS: 1 / <s>
[2025-11-28 18:02:45,557] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:280] [PID:3633661] PAD: 2 / </s>
[2025-11-28 18:02:45,557] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:281] [PID:3633661] UNK: 0 / <unk>
[2025-11-28 18:02:45,565] [INFO] [axolotl.utils.data.shared.load_preprocessed_dataset:481] [PID:3633661] Unable to find prepared dataset in last_run_prepared/0ddf8b5d6caf21513bfb49ac1f784d2b
[2025-11-28 18:02:45,565] [INFO] [axolotl.utils.data.sft._load_raw_datasets:320] [PID:3633661] Loading raw datasets...
[2025-11-28 18:02:45,565] [WARNING] [axolotl.utils.data.sft._load_raw_datasets:322] [PID:3633661] Processing datasets during training can lead to VRAM instability. Please pre-process your dataset using `axolotl preprocess path/to/config.yml`.
[2025-11-28 18:02:46,489] [WARNING] [huggingface_hub.repocard.content:108] [PID:3633661] Repo card metadata block was not found. Setting CardData to empty.
[2025-11-28 18:02:48,633] [INFO] [axolotl.utils.data.wrappers.get_dataset_wrapper:87] [PID:3633661] Loading dataset: TeamPV/distractors-onr-v2 with base_type: chat_template and prompt_style: None
[2025-11-28 18:02:48,642] [INFO] [axolotl.prompt_strategies.chat_template.__call__:969] [PID:3633661] Using chat template:
---
{%- if messages[0]["role"] == "system" %}
    {%- set system_message = messages[0]["content"] %}
    {%- set loop_messages = messages[1:] %}
{%- else %}
    {%- set loop_messages = messages %}
{%- endif %}
{%- if not tools is defined %}
    {%- set tools = none %}
{%- endif %}
{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}

{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
{%- set ns = namespace() %}
{%- set ns.index = 0 %}
{%- for message in loop_messages %}
    {%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
        {%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
            {{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
        {%- endif %}
        {%- set ns.index = ns.index + 1 %}
    {%- endif %}
{%- endfor %}

{{- bos_token }}
{%- for message in loop_messages %}
    {%- if message["role"] == "user" %}
        {%- if tools is not none and (message == user_messages[-1]) %}
            {{- "[AVAILABLE_TOOLS][" }}
            {%- for tool in tools %}
                {%- set tool = tool.function %}
                {{- '{"type": "function", "function": {' }}
                {%- for key, val in tool.items() if key != "return" %}
                    {%- if val is string %}
                        {{- '"' + key + '": "' + val + '"' }}
                    {%- else %}
                        {{- '"' + key + '": ' + val|tojson }}
                    {%- endif %}
                    {%- if not loop.last %}
                        {{- ", " }}
                    {%- endif %}
                {%- endfor %}
                {{- "}}" }}
                {%- if not loop.last %}
                    {{- ", " }}
                {%- else %}
                    {{- "]" }}
                {%- endif %}
            {%- endfor %}
            {{- "[/AVAILABLE_TOOLS]" }}
            {%- endif %}
        {%- if loop.last and system_message is defined %}
            {{- "[INST]" + system_message + "\n\n" + message["content"] + "[/INST]" }}
        {%- else %}
            {{- "[INST]" + message["content"] + "[/INST]" }}
        {%- endif %}
    {%- elif (message.tool_calls is defined and message.tool_calls is not none) %}
        {{- "[TOOL_CALLS][" }}
        {%- for tool_call in message.tool_calls %}
            {%- set out = tool_call.function|tojson %}
            {{- out[:-1] }}
            {%- if not tool_call.id is defined or tool_call.id|length != 9 %}
                {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
            {%- endif %}
            {{- ', "id": "' + tool_call.id + '"}' }}
            {%- if not loop.last %}
                {{- ", " }}
            {%- else %}
                {{- "]" + eos_token }}
            {%- endif %}
        {%- endfor %}
    {%- elif message["role"] == "assistant" %}
        {{- message["content"] + eos_token}}
    {%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
        {%- if message.content is defined and message.content.content is defined %}
            {%- set content = message.content.content %}
        {%- else %}
            {%- set content = message.content %}
        {%- endif %}
        {{- '[TOOL_RESULTS]{"content": ' + content|string + ", " }}
        {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
            {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
        {%- endif %}
        {{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
    {%- else %}
        {{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
    {%- endif %}
{%- endfor %}

---
[2025-11-28 18:03:01,375] [INFO] [axolotl.utils.data.utils.handle_long_seq_in_dataset:218] [PID:3633661] min_input_len: 168
[2025-11-28 18:03:01,375] [INFO] [axolotl.utils.data.utils.handle_long_seq_in_dataset:220] [PID:3633661] max_input_len: 4582
[2025-11-28 18:03:03,407] [WARNING] [axolotl.utils.data.utils.handle_long_seq_in_dataset:260] [PID:3633661] Dropped 204 samples from dataset

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[2025-11-28 18:03:17,759] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:406] [PID:3633661] total_num_tokens: 101_581_260
[2025-11-28 18:03:18,785] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:424] [PID:3633661] `total_supervised_tokens: 31_246_079`
[2025-11-28 18:03:18,785] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:522] [PID:3633661] total_num_steps: 43939
[2025-11-28 18:03:18,785] [INFO] [axolotl.utils.data.sft._prepare_standard_dataset:121] [PID:3633661] Maximum number of steps set at 43939
[2025-11-28 18:03:18,807] [DEBUG] [axolotl.train.setup_model_and_tokenizer:65] [PID:3633661] Loading tokenizer... mistralai/Mistral-Nemo-Instruct-2407
[2025-11-28 18:03:19,445] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:278] [PID:3633661] EOS: 2 / </s>
[2025-11-28 18:03:19,445] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:279] [PID:3633661] BOS: 1 / <s>
[2025-11-28 18:03:19,445] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:280] [PID:3633661] PAD: 2 / </s>
[2025-11-28 18:03:19,445] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:281] [PID:3633661] UNK: 0 / <unk>
[2025-11-28 18:03:19,445] [DEBUG] [axolotl.train.setup_model_and_tokenizer:74] [PID:3633661] Loading model
[2025-11-28 18:03:19,578] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_evaluation_loop:87] [PID:3633661] Patched Trainer.evaluation_loop with nanmean loss calculation
[2025-11-28 18:03:19,579] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_maybe_log_save_evaluate:138] [PID:3633661] Patched Trainer._maybe_log_save_evaluate with nanmean loss calculation

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[2025-11-28 18:03:27,541] [INFO] [axolotl.loaders.model._configure_embedding_dtypes:345] [PID:3633661] Converting modules to torch.bfloat16
[2025-11-28 18:03:28,468] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:3633661] Memory usage after model load 0.000GB ()
trainable params: 114,032,640 || all params: 12,361,815,040 || trainable%: 0.9225
[2025-11-28 18:03:29,437] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:3633661] after adapters 0.000GB ()
[2025-11-28 18:04:12,754] [INFO] [axolotl.train.save_initial_configs:398] [PID:3633661] Pre-saving adapter config to /model_out/mistral-nemo-12b_sft...
[2025-11-28 18:04:12,757] [INFO] [axolotl.train.save_initial_configs:402] [PID:3633661] Pre-saving tokenizer to /model_out/mistral-nemo-12b_sft...
[2025-11-28 18:04:12,905] [INFO] [axolotl.train.save_initial_configs:407] [PID:3633661] Pre-saving model config to /model_out/mistral-nemo-12b_sft...
[2025-11-28 18:04:12,943] [INFO] [axolotl.train.execute_training:196] [PID:3633661] Starting trainer...

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{'eval_loss': 1.9759739637374878, 'eval_runtime': 197.0423, 'eval_samples_per_second': 5.07, 'eval_steps_per_second': 0.365, 'memory/max_active (GiB)': 76.86, 'memory/max_allocated (GiB)': 76.86, 'memory/device_reserved (GiB)': 77.68, 'epoch': 0}

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{'loss': 1.9687, 'grad_norm': 1.4988383054733276, 'learning_rate': 5.577054404734805e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 1534.89, 'epoch': 0.0}

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{'loss': 1.9557, 'grad_norm': 1.205540657043457, 'learning_rate': 1.1267926246300935e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 512.71, 'epoch': 0.01}

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{'loss': 1.8251, 'grad_norm': 1.4495829343795776, 'learning_rate': 1.6958798087867062e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 492.64, 'epoch': 0.01}

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{'loss': 1.6389, 'grad_norm': 0.9070694446563721, 'learning_rate': 2.264966992943319e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 513.79, 'epoch': 0.02}

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{'loss': 1.4838, 'grad_norm': 1.1880543231964111, 'learning_rate': 2.834054177099932e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 489.92, 'epoch': 0.02}

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{'loss': 1.4042, 'grad_norm': 1.474748134613037, 'learning_rate': 3.4031413612565448e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 485.95, 'epoch': 0.03}

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{'loss': 1.3435, 'grad_norm': 1.490429401397705, 'learning_rate': 3.972228545413158e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 482.48, 'epoch': 0.03}

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{'loss': 1.3146, 'grad_norm': 1.9503854513168335, 'learning_rate': 4.54131572956977e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 472.38, 'epoch': 0.04}

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{'loss': 1.2806, 'grad_norm': 1.4551211595535278, 'learning_rate': 5.110402913726383e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 484.66, 'epoch': 0.04}

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{'loss': 1.2785, 'grad_norm': 1.7765358686447144, 'learning_rate': 5.679490097882996e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 459.31, 'epoch': 0.05}

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{'loss': 1.2962, 'grad_norm': 1.6205016374588013, 'learning_rate': 6.248577282039609e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 496.89, 'epoch': 0.05}

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{'loss': 1.2698, 'grad_norm': 2.360264539718628, 'learning_rate': 6.8176644661962216e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 535.06, 'epoch': 0.05}

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{'loss': 1.2719, 'grad_norm': 1.9422169923782349, 'learning_rate': 7.386751650352834e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 469.37, 'epoch': 0.06}

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{'loss': 1.2423, 'grad_norm': 1.6929277181625366, 'learning_rate': 7.955838834509448e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 469.51, 'epoch': 0.06}

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{'loss': 1.2189, 'grad_norm': 2.481524705886841, 'learning_rate': 8.52492601866606e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 443.79, 'epoch': 0.07}

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{'loss': 1.2364, 'grad_norm': 1.7966183423995972, 'learning_rate': 9.094013202822673e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 471.56, 'epoch': 0.07}

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{'loss': 1.183, 'grad_norm': 1.7296600341796875, 'learning_rate': 9.663100386979286e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 476.21, 'epoch': 0.08}

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{'loss': 1.1902, 'grad_norm': 1.7888613939285278, 'learning_rate': 1.0232187571135898e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 496.55, 'epoch': 0.08}

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{'loss': 1.2042, 'grad_norm': 1.9669216871261597, 'learning_rate': 1.0801274755292511e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 494.8, 'epoch': 0.09}

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{'loss': 1.1681, 'grad_norm': 2.7225213050842285, 'learning_rate': 1.1370361939449125e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 469.73, 'epoch': 0.09}

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{'loss': 1.1957, 'grad_norm': 2.091661214828491, 'learning_rate': 1.1939449123605736e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 501.85, 'epoch': 0.1}

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{'loss': 1.2117, 'grad_norm': 2.423203945159912, 'learning_rate': 1.250853630776235e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 475.58, 'epoch': 0.1}

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{'loss': 1.2049, 'grad_norm': 1.9933820962905884, 'learning_rate': 1.3077623491918964e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 484.91, 'epoch': 0.1}

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{'loss': 1.1552, 'grad_norm': 1.9259192943572998, 'learning_rate': 1.3646710676075574e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 464.56, 'epoch': 0.11}

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{'loss': 1.1847, 'grad_norm': 1.8878772258758545, 'learning_rate': 1.4215797860232188e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 532.02, 'epoch': 0.11}

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{'loss': 1.1844, 'grad_norm': 2.4258198738098145, 'learning_rate': 1.4784885044388803e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 480.37, 'epoch': 0.12}

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{'loss': 1.1706, 'grad_norm': 1.9142098426818848, 'learning_rate': 1.5353972228545412e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 484.91, 'epoch': 0.12}

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{'loss': 1.1494, 'grad_norm': 1.8054569959640503, 'learning_rate': 1.5923059412702026e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 469.8, 'epoch': 0.13}

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{'loss': 1.1767, 'grad_norm': 1.9961028099060059, 'learning_rate': 1.649214659685864e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 494.13, 'epoch': 0.13}

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{'loss': 1.1622, 'grad_norm': 1.7714760303497314, 'learning_rate': 1.7061233781015252e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 482.39, 'epoch': 0.14}

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{'loss': 1.1754, 'grad_norm': 1.944865345954895, 'learning_rate': 1.7630320965171866e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 482.41, 'epoch': 0.14}

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{'loss': 1.1597, 'grad_norm': 1.8010004758834839, 'learning_rate': 1.819940814932848e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 477.14, 'epoch': 0.15}

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{'loss': 1.1533, 'grad_norm': 2.0305533409118652, 'learning_rate': 1.8768495333485092e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 484.22, 'epoch': 0.15}

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{'loss': 1.1548, 'grad_norm': 1.8290001153945923, 'learning_rate': 1.9337582517641702e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 492.04, 'epoch': 0.15}

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{'loss': 1.1421, 'grad_norm': 1.9180041551589966, 'learning_rate': 1.9906669701798315e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 446.31, 'epoch': 0.16}

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{'loss': 1.1166, 'grad_norm': 1.6121618747711182, 'learning_rate': 2.047575688595493e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 454.94, 'epoch': 0.16}

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  4%|▍         | 1840/43939 [2:58:32<66:29:10,  5.69s/it]
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  4%|▍         | 1842/43939 [2:58:44<67:25:18,  5.77s/it]
  4%|▍         | 1843/43939 [2:58:49<67:03:00,  5.73s/it]
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  4%|▍         | 1845/43939 [2:59:01<66:39:57,  5.70s/it]
  4%|▍         | 1846/43939 [2:59:06<66:32:20,  5.69s/it]
  4%|▍         | 1847/43939 [2:59:12<66:43:36,  5.71s/it]
  4%|▍         | 1848/43939 [2:59:18<66:38:18,  5.70s/it]
  4%|▍         | 1849/43939 [2:59:24<66:35:29,  5.70s/it]
  4%|▍         | 1850/43939 [2:59:29<66:36:01,  5.70s/it]
                                                         
{'loss': 1.1582, 'grad_norm': 1.5404553413391113, 'learning_rate': 2.1044844070111542e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 507.31, 'epoch': 0.17}

  4%|▍         | 1850/43939 [2:59:29<66:36:01,  5.70s/it]
  4%|▍         | 1851/43939 [2:59:35<66:31:27,  5.69s/it]
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  4%|▍         | 1860/43939 [3:00:26<66:35:03,  5.70s/it]
  4%|▍         | 1861/43939 [3:00:32<66:33:16,  5.69s/it]
  4%|▍         | 1862/43939 [3:00:38<67:27:46,  5.77s/it]
  4%|▍         | 1863/43939 [3:00:44<67:13:02,  5.75s/it]
  4%|▍         | 1864/43939 [3:00:49<67:09:35,  5.75s/it]
  4%|▍         | 1865/43939 [3:00:55<67:11:18,  5.75s/it]
  4%|▍         | 1866/43939 [3:01:01<66:58:16,  5.73s/it]
  4%|▍         | 1867/43939 [3:01:07<66:54:43,  5.73s/it]
  4%|▍         | 1868/43939 [3:01:12<66:48:58,  5.72s/it]
  4%|▍         | 1869/43939 [3:01:18<66:48:02,  5.72s/it]
  4%|▍         | 1870/43939 [3:01:24<66:43:35,  5.71s/it]
  4%|▍         | 1871/43939 [3:01:29<66:48:42,  5.72s/it]
  4%|▍         | 1872/43939 [3:01:35<66:53:25,  5.72s/it]
  4%|▍         | 1873/43939 [3:01:41<66:49:50,  5.72s/it]
  4%|▍         | 1874/43939 [3:01:46<66:46:35,  5.71s/it]
  4%|▍         | 1875/43939 [3:01:52<66:35:25,  5.70s/it]
  4%|▍         | 1876/43939 [3:01:58<66:25:43,  5.69s/it]
  4%|▍         | 1877/43939 [3:02:04<66:30:53,  5.69s/it]
  4%|▍         | 1878/43939 [3:02:09<66:28:15,  5.69s/it]
  4%|▍         | 1879/43939 [3:02:15<66:27:54,  5.69s/it]
  4%|▍         | 1880/43939 [3:02:21<66:28:52,  5.69s/it]
  4%|▍         | 1881/43939 [3:02:26<66:25:17,  5.69s/it]
  4%|▍         | 1882/43939 [3:02:32<66:34:42,  5.70s/it]
  4%|▍         | 1883/43939 [3:02:38<67:27:33,  5.77s/it]
  4%|▍         | 1884/43939 [3:02:44<67:00:36,  5.74s/it]
  4%|▍         | 1885/43939 [3:02:49<66:48:45,  5.72s/it]
  4%|▍         | 1886/43939 [3:02:55<66:38:07,  5.70s/it]
  4%|▍         | 1887/43939 [3:03:01<66:34:16,  5.70s/it]
  4%|▍         | 1888/43939 [3:03:06<66:42:54,  5.71s/it]
  4%|▍         | 1889/43939 [3:03:12<66:39:43,  5.71s/it]
  4%|▍         | 1890/43939 [3:03:18<66:44:20,  5.71s/it]
  4%|▍         | 1891/43939 [3:03:23<66:38:10,  5.71s/it]
  4%|▍         | 1892/43939 [3:03:29<66:36:59,  5.70s/it]
  4%|▍         | 1893/43939 [3:03:35<66:41:24,  5.71s/it]
  4%|▍         | 1894/43939 [3:03:41<66:42:26,  5.71s/it]
  4%|▍         | 1895/43939 [3:03:46<66:39:20,  5.71s/it]
  4%|▍         | 1896/43939 [3:03:52<66:36:26,  5.70s/it]
  4%|▍         | 1897/43939 [3:03:58<66:42:12,  5.71s/it]
  4%|▍         | 1898/43939 [3:04:03<66:31:24,  5.70s/it]
  4%|▍         | 1899/43939 [3:04:09<66:44:27,  5.72s/it]
  4%|▍         | 1900/43939 [3:04:15<66:36:17,  5.70s/it]
                                                         
{'loss': 1.1591, 'grad_norm': 1.6776846647262573, 'learning_rate': 2.1613931254268155e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 503.53, 'epoch': 0.17}

  4%|▍         | 1900/43939 [3:04:15<66:36:17,  5.70s/it]
  4%|▍         | 1901/43939 [3:04:21<66:38:24,  5.71s/it]
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  4%|▍         | 1912/43939 [3:05:23<66:38:04,  5.71s/it]
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  4%|▍         | 1914/43939 [3:05:35<66:33:41,  5.70s/it]
  4%|▍         | 1915/43939 [3:05:41<66:36:26,  5.71s/it]
  4%|▍         | 1916/43939 [3:05:46<66:33:18,  5.70s/it]
  4%|▍         | 1917/43939 [3:05:52<66:37:49,  5.71s/it]
  4%|▍         | 1918/43939 [3:05:58<66:35:38,  5.71s/it]
  4%|▍         | 1919/43939 [3:06:03<66:33:03,  5.70s/it]
  4%|▍         | 1920/43939 [3:06:09<66:36:38,  5.71s/it]
  4%|▍         | 1921/43939 [3:06:15<66:26:13,  5.69s/it]
  4%|▍         | 1922/43939 [3:06:20<66:34:54,  5.70s/it]
  4%|▍         | 1923/43939 [3:06:26<66:31:27,  5.70s/it]
  4%|▍         | 1924/43939 [3:06:32<66:24:25,  5.69s/it]
  4%|▍         | 1925/43939 [3:06:38<66:33:31,  5.70s/it]
  4%|▍         | 1926/43939 [3:06:43<67:18:47,  5.77s/it]
  4%|▍         | 1927/43939 [3:06:49<67:12:56,  5.76s/it]
  4%|▍         | 1928/43939 [3:06:55<67:07:39,  5.75s/it]
  4%|▍         | 1929/43939 [3:07:01<66:51:26,  5.73s/it]
  4%|▍         | 1930/43939 [3:07:06<66:42:47,  5.72s/it]
  4%|▍         | 1931/43939 [3:07:12<66:38:46,  5.71s/it]
  4%|▍         | 1932/43939 [3:07:18<66:43:05,  5.72s/it]
  4%|▍         | 1933/43939 [3:07:23<66:40:48,  5.71s/it]
  4%|▍         | 1934/43939 [3:07:29<66:38:33,  5.71s/it]
  4%|▍         | 1935/43939 [3:07:35<66:37:34,  5.71s/it]
  4%|▍         | 1936/43939 [3:07:41<66:39:08,  5.71s/it]
  4%|▍         | 1937/43939 [3:07:46<66:35:23,  5.71s/it]
  4%|▍         | 1938/43939 [3:07:52<66:30:25,  5.70s/it]
  4%|▍         | 1939/43939 [3:07:58<66:30:17,  5.70s/it]
  4%|▍         | 1940/43939 [3:08:03<66:34:02,  5.71s/it]
  4%|▍         | 1941/43939 [3:08:09<66:31:23,  5.70s/it]
  4%|▍         | 1942/43939 [3:08:15<66:29:20,  5.70s/it]
  4%|▍         | 1943/43939 [3:08:20<66:24:21,  5.69s/it]
  4%|▍         | 1944/43939 [3:08:26<66:23:48,  5.69s/it]
  4%|▍         | 1945/43939 [3:08:32<66:24:43,  5.69s/it]
  4%|▍         | 1946/43939 [3:08:38<67:10:08,  5.76s/it]
  4%|▍         | 1947/43939 [3:08:43<66:59:21,  5.74s/it]
  4%|▍         | 1948/43939 [3:08:49<66:45:19,  5.72s/it]
  4%|▍         | 1949/43939 [3:08:55<66:43:53,  5.72s/it]
  4%|▍         | 1950/43939 [3:09:00<66:29:26,  5.70s/it]
                                                         
{'loss': 1.1293, 'grad_norm': 1.8899917602539062, 'learning_rate': 2.218301843842477e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 467.41, 'epoch': 0.18}

  4%|▍         | 1950/43939 [3:09:00<66:29:26,  5.70s/it]
  4%|▍         | 1951/43939 [3:09:06<66:40:51,  5.72s/it]
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  4%|▍         | 1954/43939 [3:09:23<66:28:34,  5.70s/it]
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  4%|▍         | 1957/43939 [3:09:40<66:23:15,  5.69s/it]
  4%|▍         | 1958/43939 [3:09:46<66:28:51,  5.70s/it]
  4%|▍         | 1959/43939 [3:09:52<66:27:21,  5.70s/it]
  4%|▍         | 1960/43939 [3:09:58<66:31:26,  5.70s/it]
  4%|▍         | 1961/43939 [3:10:03<66:36:12,  5.71s/it]
  4%|▍         | 1962/43939 [3:10:09<66:34:23,  5.71s/it]
  4%|▍         | 1963/43939 [3:10:15<66:33:56,  5.71s/it]
  4%|▍         | 1964/43939 [3:10:20<66:35:18,  5.71s/it]
  4%|▍         | 1965/43939 [3:10:26<66:32:43,  5.71s/it]
  4%|▍         | 1966/43939 [3:10:32<66:31:20,  5.71s/it]
  4%|▍         | 1967/43939 [3:10:38<67:19:35,  5.77s/it]
  4%|▍         | 1968/43939 [3:10:43<67:03:36,  5.75s/it]
  4%|▍         | 1969/43939 [3:10:49<66:58:32,  5.74s/it]
  4%|▍         | 1970/43939 [3:10:55<66:46:39,  5.73s/it]
  4%|▍         | 1971/43939 [3:11:01<66:41:26,  5.72s/it]
  4%|▍         | 1972/43939 [3:11:06<66:30:28,  5.71s/it]
  4%|▍         | 1973/43939 [3:11:12<66:27:15,  5.70s/it]
  4%|▍         | 1974/43939 [3:11:18<66:32:35,  5.71s/it]
  4%|▍         | 1975/43939 [3:11:23<66:27:22,  5.70s/it]
  4%|▍         | 1976/43939 [3:11:29<66:32:47,  5.71s/it]
  4%|▍         | 1977/43939 [3:11:35<66:29:27,  5.70s/it]
  5%|▍         | 1978/43939 [3:11:40<66:23:53,  5.70s/it]
  5%|▍         | 1979/43939 [3:11:46<66:44:57,  5.73s/it]
  5%|▍         | 1980/43939 [3:11:52<66:39:06,  5.72s/it]
  5%|▍         | 1981/43939 [3:11:58<66:34:41,  5.71s/it]
  5%|▍         | 1982/43939 [3:12:03<66:28:26,  5.70s/it]
  5%|▍         | 1983/43939 [3:12:09<66:23:44,  5.70s/it]
  5%|▍         | 1984/43939 [3:12:15<66:23:37,  5.70s/it]
  5%|▍         | 1985/43939 [3:12:20<66:21:09,  5.69s/it]
  5%|▍         | 1986/43939 [3:12:26<66:32:33,  5.71s/it]
  5%|▍         | 1987/43939 [3:12:32<66:37:58,  5.72s/it]
  5%|▍         | 1988/43939 [3:12:38<66:31:50,  5.71s/it]
  5%|▍         | 1989/43939 [3:12:43<67:17:52,  5.78s/it]
  5%|▍         | 1990/43939 [3:12:49<67:04:28,  5.76s/it]
  5%|▍         | 1991/43939 [3:12:55<66:58:54,  5.75s/it]
  5%|▍         | 1992/43939 [3:13:01<66:47:47,  5.73s/it]
  5%|▍         | 1993/43939 [3:13:06<66:59:17,  5.75s/it]
  5%|▍         | 1994/43939 [3:13:12<66:41:47,  5.72s/it]
  5%|▍         | 1995/43939 [3:13:18<66:52:40,  5.74s/it]
  5%|▍         | 1996/43939 [3:13:24<66:46:18,  5.73s/it]
  5%|▍         | 1997/43939 [3:13:29<66:39:44,  5.72s/it]
  5%|▍         | 1998/43939 [3:13:35<66:36:14,  5.72s/it]
  5%|▍         | 1999/43939 [3:13:41<66:33:08,  5.71s/it]
  5%|▍         | 2000/43939 [3:13:46<66:31:23,  5.71s/it]
                                                         
{'loss': 1.1541, 'grad_norm': 1.4181222915649414, 'learning_rate': 2.275210562258138e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 494.36, 'epoch': 0.18}

  5%|▍         | 2000/43939 [3:13:46<66:31:23,  5.71s/it]
  5%|▍         | 2001/43939 [3:13:52<66:28:13,  5.71s/it]
  5%|▍         | 2002/43939 [3:13:58<66:26:23,  5.70s/it]
  5%|▍         | 2003/43939 [3:14:03<66:30:28,  5.71s/it]
  5%|▍         | 2004/43939 [3:14:09<66:26:20,  5.70s/it]
  5%|▍         | 2005/43939 [3:14:15<66:34:54,  5.72s/it]
  5%|▍         | 2006/43939 [3:14:21<66:33:25,  5.71s/it]
  5%|▍         | 2007/43939 [3:14:26<66:30:32,  5.71s/it]
  5%|▍         | 2008/43939 [3:14:32<67:20:04,  5.78s/it]
  5%|▍         | 2009/43939 [3:14:38<67:01:18,  5.75s/it]
  5%|▍         | 2010/43939 [3:14:44<66:50:09,  5.74s/it]
  5%|▍         | 2011/43939 [3:14:49<66:45:52,  5.73s/it]
  5%|▍         | 2012/43939 [3:14:55<66:37:18,  5.72s/it]
  5%|▍         | 2013/43939 [3:15:01<66:34:24,  5.72s/it]
  5%|▍         | 2014/43939 [3:15:06<66:26:36,  5.71s/it]
  5%|▍         | 2015/43939 [3:15:12<66:18:33,  5.69s/it]
  5%|▍         | 2016/43939 [3:15:18<66:14:05,  5.69s/it]
  5%|▍         | 2017/43939 [3:15:23<66:08:41,  5.68s/it]
  5%|▍         | 2018/43939 [3:15:29<66:10:51,  5.68s/it]
  5%|▍         | 2019/43939 [3:15:35<66:09:37,  5.68s/it]
  5%|▍         | 2020/43939 [3:15:40<66:11:02,  5.68s/it]
  5%|▍         | 2021/43939 [3:15:46<66:17:48,  5.69s/it]
  5%|▍         | 2022/43939 [3:15:52<66:24:10,  5.70s/it]
  5%|▍         | 2023/43939 [3:15:58<66:25:19,  5.70s/it]
  5%|▍         | 2024/43939 [3:16:03<66:22:58,  5.70s/it]
  5%|▍         | 2025/43939 [3:16:09<66:17:27,  5.69s/it]
  5%|▍         | 2026/43939 [3:16:15<66:28:52,  5.71s/it]
  5%|▍         | 2027/43939 [3:16:20<66:23:27,  5.70s/it]
  5%|▍         | 2028/43939 [3:16:26<66:24:09,  5.70s/it]
  5%|▍         | 2029/43939 [3:16:32<67:07:31,  5.77s/it]
  5%|▍         | 2030/43939 [3:16:38<66:50:53,  5.74s/it]
  5%|▍         | 2031/43939 [3:16:44<66:51:48,  5.74s/it]
  5%|▍         | 2032/43939 [3:16:49<66:46:21,  5.74s/it]
  5%|▍         | 2033/43939 [3:16:55<66:36:23,  5.72s/it]
  5%|▍         | 2034/43939 [3:17:01<66:36:38,  5.72s/it]
  5%|▍         | 2035/43939 [3:17:06<66:28:52,  5.71s/it]
  5%|▍         | 2036/43939 [3:17:12<66:33:28,  5.72s/it]
  5%|▍         | 2037/43939 [3:17:18<66:18:01,  5.70s/it]
  5%|▍         | 2038/43939 [3:17:23<66:18:23,  5.70s/it]
  5%|▍         | 2039/43939 [3:17:29<66:38:05,  5.73s/it]
  5%|▍         | 2040/43939 [3:17:35<66:33:35,  5.72s/it]
  5%|▍         | 2041/43939 [3:17:41<66:29:25,  5.71s/it]
  5%|▍         | 2042/43939 [3:17:46<66:24:02,  5.71s/it]
  5%|▍         | 2043/43939 [3:17:52<66:25:27,  5.71s/it]
  5%|▍         | 2044/43939 [3:17:58<66:15:04,  5.69s/it]
  5%|▍         | 2045/43939 [3:18:03<66:13:48,  5.69s/it]
  5%|▍         | 2046/43939 [3:18:09<66:14:28,  5.69s/it]
  5%|▍         | 2047/43939 [3:18:15<66:15:56,  5.69s/it]
  5%|▍         | 2048/43939 [3:18:20<66:30:12,  5.72s/it]
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{'loss': 1.1207, 'grad_norm': 1.6970280408859253, 'learning_rate': 2.3321192806737992e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 457.57, 'epoch': 0.19}

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{'loss': 1.1484, 'grad_norm': 1.7740880250930786, 'learning_rate': 2.3890279990894605e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 484.6, 'epoch': 0.19}

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{'loss': 1.1451, 'grad_norm': 1.6202048063278198, 'learning_rate': 2.445936717505122e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.76, 'tokens_per_second_per_gpu': 532.16, 'epoch': 0.2}

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{'eval_loss': 1.119379997253418, 'eval_runtime': 195.6152, 'eval_samples_per_second': 5.107, 'eval_steps_per_second': 0.368, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 0.2}

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{'loss': 1.1345, 'grad_norm': 1.9262148141860962, 'learning_rate': 2.502845435920783e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.06, 'tokens_per_second_per_gpu': 24.4, 'epoch': 0.2}

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{'loss': 1.1275, 'grad_norm': 1.6392292976379395, 'learning_rate': 2.5597541543364445e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 462.24, 'epoch': 0.2}

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{'loss': 1.1246, 'grad_norm': 1.8397603034973145, 'learning_rate': 2.6166628727521058e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.72, 'epoch': 0.21}

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{'loss': 1.1322, 'grad_norm': 1.2947629690170288, 'learning_rate': 2.673571591167767e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.82, 'epoch': 0.21}

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{'loss': 1.1028, 'grad_norm': 1.5403435230255127, 'learning_rate': 2.730480309583428e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 503.72, 'epoch': 0.22}

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{'loss': 1.1469, 'grad_norm': 1.2514817714691162, 'learning_rate': 2.7873890279990895e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 525.63, 'epoch': 0.22}

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{'loss': 1.1068, 'grad_norm': 1.5391417741775513, 'learning_rate': 2.8442977464147508e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.06, 'epoch': 0.23}

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{'loss': 1.1453, 'grad_norm': 1.393747091293335, 'learning_rate': 2.901206464830412e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.26, 'epoch': 0.23}

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{'loss': 1.116, 'grad_norm': 1.5987119674682617, 'learning_rate': 2.9581151832460735e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.22, 'epoch': 0.24}

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{'loss': 1.1107, 'grad_norm': 1.2702186107635498, 'learning_rate': 3.0150239016617348e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.9, 'epoch': 0.24}

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{'loss': 1.1302, 'grad_norm': 1.4149582386016846, 'learning_rate': 3.071932620077396e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.9, 'epoch': 0.25}

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{'loss': 1.1311, 'grad_norm': 3.761045455932617, 'learning_rate': 3.128841338493057e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.72, 'epoch': 0.25}

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{'loss': 1.1243, 'grad_norm': 1.2627049684524536, 'learning_rate': 3.185750056908718e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.22, 'epoch': 0.25}

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{'loss': 1.1066, 'grad_norm': 1.3173185586929321, 'learning_rate': 3.24265877532438e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 467.07, 'epoch': 0.26}

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{'loss': 1.1183, 'grad_norm': 1.4638679027557373, 'learning_rate': 3.2995674937400414e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.32, 'epoch': 0.26}

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{'loss': 1.0697, 'grad_norm': 1.3660715818405151, 'learning_rate': 3.3564762121557024e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.36, 'epoch': 0.27}

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{'loss': 1.1047, 'grad_norm': 1.175022840499878, 'learning_rate': 3.413384930571364e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.11, 'epoch': 0.27}

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{'loss': 1.1115, 'grad_norm': 1.247564673423767, 'learning_rate': 3.470293648987025e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 491.44, 'epoch': 0.28}

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{'loss': 1.1257, 'grad_norm': 1.1579777002334595, 'learning_rate': 3.527202367402686e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 512.81, 'epoch': 0.28}

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{'loss': 1.1078, 'grad_norm': 1.1780682802200317, 'learning_rate': 3.584111085818348e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.72, 'epoch': 0.29}

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{'loss': 1.1464, 'grad_norm': 1.224279761314392, 'learning_rate': 3.641019804234009e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 524.15, 'epoch': 0.29}

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{'loss': 1.0947, 'grad_norm': 1.2794740200042725, 'learning_rate': 3.6979285226496704e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 517.16, 'epoch': 0.3}

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{'loss': 1.1261, 'grad_norm': 1.2177249193191528, 'learning_rate': 3.7548372410653314e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 467.35, 'epoch': 0.3}

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{'loss': 1.1125, 'grad_norm': 1.1074647903442383, 'learning_rate': 3.811745959480993e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 505.32, 'epoch': 0.3}

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{'loss': 1.1102, 'grad_norm': 1.2007449865341187, 'learning_rate': 3.8686546778966534e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 500.46, 'epoch': 0.31}

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{'loss': 1.0961, 'grad_norm': 1.5369510650634766, 'learning_rate': 3.925563396312315e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 461.95, 'epoch': 0.31}

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{'loss': 1.1108, 'grad_norm': 0.9427760243415833, 'learning_rate': 3.982472114727977e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 515.4, 'epoch': 0.32}

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{'loss': 1.1014, 'grad_norm': 1.334630012512207, 'learning_rate': 4.039380833143638e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.55, 'epoch': 0.32}

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{'loss': 1.11, 'grad_norm': 1.1430654525756836, 'learning_rate': 4.0962895515592994e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 437.81, 'epoch': 0.33}

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{'loss': 1.0991, 'grad_norm': 1.4943946599960327, 'learning_rate': 4.1531982699749604e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.41, 'epoch': 0.33}

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{'loss': 1.0669, 'grad_norm': 1.2534953355789185, 'learning_rate': 4.210106988390622e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 463.29, 'epoch': 0.34}

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{'loss': 1.0984, 'grad_norm': 1.0308473110198975, 'learning_rate': 4.267015706806283e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 455.95, 'epoch': 0.34}

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{'loss': 1.0733, 'grad_norm': 1.2468562126159668, 'learning_rate': 4.323924425221944e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 460.65, 'epoch': 0.35}

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{'loss': 1.098, 'grad_norm': 1.1006118059158325, 'learning_rate': 4.380833143637606e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.27, 'epoch': 0.35}

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{'loss': 1.1089, 'grad_norm': 1.1994727849960327, 'learning_rate': 4.437741862053267e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 527.68, 'epoch': 0.36}

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{'loss': 1.0693, 'grad_norm': 1.166426181793213, 'learning_rate': 4.4946505804689283e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 447.81, 'epoch': 0.36}

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{'loss': 1.1004, 'grad_norm': 1.003192663192749, 'learning_rate': 4.551559298884589e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 481.48, 'epoch': 0.36}

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{'loss': 1.0936, 'grad_norm': 0.9891825318336487, 'learning_rate': 4.60846801730025e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.97, 'epoch': 0.37}

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{'loss': 1.0909, 'grad_norm': 1.1373133659362793, 'learning_rate': 4.665376735715912e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.57, 'epoch': 0.37}

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{'loss': 1.0913, 'grad_norm': 1.149749517440796, 'learning_rate': 4.722285454131573e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.49, 'epoch': 0.38}

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{'loss': 1.0951, 'grad_norm': 1.1793601512908936, 'learning_rate': 4.7791941725472346e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 532.82, 'epoch': 0.38}

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{'loss': 1.1117, 'grad_norm': 0.982142448425293, 'learning_rate': 4.8361028909628956e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 518.2, 'epoch': 0.39}

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{'loss': 1.0869, 'grad_norm': 1.0042027235031128, 'learning_rate': 4.893011609378557e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.27, 'epoch': 0.39}

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{'loss': 1.0682, 'grad_norm': 1.2012032270431519, 'learning_rate': 4.949920327794218e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 467.47, 'epoch': 0.4}

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{'eval_loss': 1.0708580017089844, 'eval_runtime': 195.2836, 'eval_samples_per_second': 5.116, 'eval_steps_per_second': 0.369, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 0.4}

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{'loss': 1.1033, 'grad_norm': 1.1110295057296753, 'learning_rate': 4.999999716007333e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.06, 'tokens_per_second_per_gpu': 62.64, 'epoch': 0.4}

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{'loss': 1.088, 'grad_norm': 1.0224543809890747, 'learning_rate': 4.999975261123525e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 512.07, 'epoch': 0.41}

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{'loss': 1.0761, 'grad_norm': 0.8717514872550964, 'learning_rate': 4.999911363255113e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.38, 'epoch': 0.41}

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{'loss': 1.0455, 'grad_norm': 1.2397717237472534, 'learning_rate': 4.999808023410233e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 460.23, 'epoch': 0.41}

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{'loss': 1.0789, 'grad_norm': 1.0875898599624634, 'learning_rate': 4.999665243219317e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.7, 'epoch': 0.42}

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{'loss': 1.0736, 'grad_norm': 0.9245534539222717, 'learning_rate': 4.9994830249350555e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.91, 'epoch': 0.42}

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{'loss': 1.0639, 'grad_norm': 1.1447221040725708, 'learning_rate': 4.9992613714323723e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.85, 'epoch': 0.43}

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{'loss': 1.077, 'grad_norm': 1.0307674407958984, 'learning_rate': 4.99900028620837e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.88, 'epoch': 0.43}

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{'loss': 1.088, 'grad_norm': 0.9278285503387451, 'learning_rate': 4.9986997733822826e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.35, 'epoch': 0.44}

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{'loss': 1.0781, 'grad_norm': 1.2356767654418945, 'learning_rate': 4.998359837695407e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.56, 'epoch': 0.44}

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{'loss': 1.1009, 'grad_norm': 0.9927319884300232, 'learning_rate': 4.997980484511027e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.86, 'epoch': 0.45}

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{'loss': 1.0898, 'grad_norm': 0.9227324724197388, 'learning_rate': 4.997561719814329e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 520.64, 'epoch': 0.45}

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{'loss': 1.0729, 'grad_norm': 1.0663466453552246, 'learning_rate': 4.9971035502123126e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.18, 'epoch': 0.46}

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{'loss': 1.069, 'grad_norm': 0.9325670599937439, 'learning_rate': 4.9966059829336786e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.12, 'epoch': 0.46}

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{'loss': 1.0801, 'grad_norm': 1.1680859327316284, 'learning_rate': 4.9960690258287204e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 469.73, 'epoch': 0.46}

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{'loss': 1.0803, 'grad_norm': 1.132150411605835, 'learning_rate': 4.995492687369198e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 483.93, 'epoch': 0.47}

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{'loss': 1.0829, 'grad_norm': 1.0051616430282593, 'learning_rate': 4.994876976648204e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 491.51, 'epoch': 0.47}

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{'loss': 1.0709, 'grad_norm': 1.000447392463684, 'learning_rate': 4.994221903380024e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 510.0, 'epoch': 0.48}

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{'loss': 1.0676, 'grad_norm': 1.1662852764129639, 'learning_rate': 4.993527477899977e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 512.04, 'epoch': 0.48}

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{'loss': 1.0825, 'grad_norm': 1.0618816614151, 'learning_rate': 4.992793711164256e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.62, 'epoch': 0.49}

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{'loss': 1.0664, 'grad_norm': 1.1399046182632446, 'learning_rate': 4.992020614749758e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.69, 'epoch': 0.49}

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{'loss': 1.0657, 'grad_norm': 1.2065247297286987, 'learning_rate': 4.991208200853894e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.34, 'epoch': 0.5}

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{'loss': 1.0677, 'grad_norm': 1.0179318189620972, 'learning_rate': 4.9903564822944024e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 506.23, 'epoch': 0.5}

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{'loss': 1.0534, 'grad_norm': 1.192871332168579, 'learning_rate': 4.989465472509145e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.98, 'epoch': 0.51}

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{'loss': 1.0625, 'grad_norm': 1.072653889656067, 'learning_rate': 4.988535185555896e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 473.49, 'epoch': 0.51}

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{'loss': 1.0596, 'grad_norm': 1.1457641124725342, 'learning_rate': 4.987565636112117e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.03, 'epoch': 0.51}

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{'loss': 1.0502, 'grad_norm': 0.9638017416000366, 'learning_rate': 4.986556839474729e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 485.55, 'epoch': 0.52}

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{'loss': 1.0695, 'grad_norm': 1.1078736782073975, 'learning_rate': 4.98550881155987e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 485.32, 'epoch': 0.52}

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{'loss': 1.0253, 'grad_norm': 1.3936585187911987, 'learning_rate': 4.984421568902643e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 463.27, 'epoch': 0.53}

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{'loss': 1.0549, 'grad_norm': 1.12526535987854, 'learning_rate': 4.983295128656856e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.14, 'epoch': 0.53}

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{'loss': 1.0723, 'grad_norm': 1.0340914726257324, 'learning_rate': 4.9821295085947515e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.14, 'epoch': 0.54}

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{'loss': 1.0622, 'grad_norm': 1.0414705276489258, 'learning_rate': 4.980924727106725e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 491.2, 'epoch': 0.54}

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{'loss': 1.1061, 'grad_norm': 1.0546574592590332, 'learning_rate': 4.979680803201034e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 528.09, 'epoch': 0.55}

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{'loss': 1.0554, 'grad_norm': 1.0350837707519531, 'learning_rate': 4.978397756503504e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.79, 'epoch': 0.55}

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{'loss': 1.056, 'grad_norm': 0.9223297238349915, 'learning_rate': 4.97707560725721e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.58, 'epoch': 0.56}

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{'loss': 1.0438, 'grad_norm': 1.9479364156723022, 'learning_rate': 4.9757143763221635e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.52, 'epoch': 0.56}

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{'loss': 1.0378, 'grad_norm': 1.0383278131484985, 'learning_rate': 4.9743140851749814e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.36, 'epoch': 0.56}

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{'loss': 1.0385, 'grad_norm': 1.022878646850586, 'learning_rate': 4.972874755908548e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 469.72, 'epoch': 0.57}

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{'loss': 1.0658, 'grad_norm': 1.0296788215637207, 'learning_rate': 4.971396411231664e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.78, 'epoch': 0.57}

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{'loss': 1.0536, 'grad_norm': 1.2907683849334717, 'learning_rate': 4.9698790744686903e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.21, 'epoch': 0.58}

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{'loss': 1.0722, 'grad_norm': 1.1980242729187012, 'learning_rate': 4.968322769559181e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.21, 'epoch': 0.58}

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{'loss': 1.0533, 'grad_norm': 1.0062897205352783, 'learning_rate': 4.9667275210575036e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.36, 'epoch': 0.59}

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{'loss': 1.0687, 'grad_norm': 1.1628015041351318, 'learning_rate': 4.9650933541324506e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.69, 'epoch': 0.59}

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{'loss': 1.0512, 'grad_norm': 1.0880138874053955, 'learning_rate': 4.9634202945668476e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 508.51, 'epoch': 0.6}

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{'eval_loss': 1.0370653867721558, 'eval_runtime': 195.0721, 'eval_samples_per_second': 5.121, 'eval_steps_per_second': 0.369, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 0.6}

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{'loss': 1.0435, 'grad_norm': 1.089520812034607, 'learning_rate': 4.961708368757138e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 77.93, 'epoch': 0.6}

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{'loss': 1.0353, 'grad_norm': 0.904808759689331, 'learning_rate': 4.959957603712977e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.54, 'epoch': 0.61}

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{'loss': 1.0425, 'grad_norm': 1.1445884704589844, 'learning_rate': 4.9581680270567957e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.08, 'epoch': 0.61}

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{'loss': 1.0563, 'grad_norm': 1.157138466835022, 'learning_rate': 4.956339667023373e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 511.61, 'epoch': 0.61}

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{'loss': 1.0364, 'grad_norm': 0.8729771375656128, 'learning_rate': 4.954472552459383e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 481.17, 'epoch': 0.62}

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{'loss': 1.0605, 'grad_norm': 1.065958857536316, 'learning_rate': 4.9525667128229474e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.49, 'epoch': 0.62}

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{'loss': 1.0743, 'grad_norm': 0.9055165648460388, 'learning_rate': 4.950622178183164e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.48, 'epoch': 0.63}

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{'loss': 1.035, 'grad_norm': 1.157254934310913, 'learning_rate': 4.948638979219637e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.23, 'epoch': 0.63}

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{'loss': 1.0365, 'grad_norm': 1.0744335651397705, 'learning_rate': 4.9466171472219904e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.74, 'epoch': 0.64}

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{'loss': 1.0769, 'grad_norm': 0.9064004421234131, 'learning_rate': 4.944556714089374e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 527.16, 'epoch': 0.64}

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{'loss': 1.0223, 'grad_norm': 0.9930420517921448, 'learning_rate': 4.942457712329964e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 462.81, 'epoch': 0.65}

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{'loss': 1.0566, 'grad_norm': 0.9996587634086609, 'learning_rate': 4.940320175060446e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.44, 'epoch': 0.65}

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{'loss': 1.0522, 'grad_norm': 1.7110569477081299, 'learning_rate': 4.9381441360054915e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.36, 'epoch': 0.66}

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{'loss': 1.0541, 'grad_norm': 1.2259682416915894, 'learning_rate': 4.9359296294972315e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 473.99, 'epoch': 0.66}

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{'loss': 1.0551, 'grad_norm': 1.290621042251587, 'learning_rate': 4.933676690474711e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.9, 'epoch': 0.66}

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{'loss': 1.0512, 'grad_norm': 0.8518486022949219, 'learning_rate': 4.931385354483336e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.75, 'epoch': 0.67}

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{'loss': 1.0463, 'grad_norm': 1.0784375667572021, 'learning_rate': 4.929055657674316e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 451.58, 'epoch': 0.67}

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{'loss': 1.0281, 'grad_norm': 1.1245126724243164, 'learning_rate': 4.9266876368040954e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.61, 'epoch': 0.68}

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{'loss': 1.036, 'grad_norm': 1.037510633468628, 'learning_rate': 4.924281329233766e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.11, 'epoch': 0.68}

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{'loss': 1.0504, 'grad_norm': 0.9862679839134216, 'learning_rate': 4.921836772928484e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.9, 'epoch': 0.69}

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{'loss': 1.0229, 'grad_norm': 1.153113603591919, 'learning_rate': 4.9193540064568724e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 458.22, 'epoch': 0.69}

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{'loss': 1.0183, 'grad_norm': 1.1115753650665283, 'learning_rate': 4.916833068990404e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.87, 'epoch': 0.7}

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{'loss': 1.0284, 'grad_norm': 1.1606495380401611, 'learning_rate': 4.914274000302793e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.9, 'epoch': 0.7}

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{'loss': 1.0377, 'grad_norm': 0.9907020330429077, 'learning_rate': 4.911676840769361e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.59, 'epoch': 0.71}

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{'loss': 1.0421, 'grad_norm': 1.0251307487487793, 'learning_rate': 4.9090416313664036e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.37, 'epoch': 0.71}

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{'loss': 1.0792, 'grad_norm': 1.1614022254943848, 'learning_rate': 4.9063684136705404e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 518.05, 'epoch': 0.71}

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{'loss': 1.0356, 'grad_norm': 0.9551727175712585, 'learning_rate': 4.903657229858063e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.4, 'epoch': 0.72}

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{'loss': 1.0267, 'grad_norm': 0.9774997234344482, 'learning_rate': 4.900908122704269e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.2, 'epoch': 0.72}

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{'loss': 1.0426, 'grad_norm': 1.1599117517471313, 'learning_rate': 4.898121135582782e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.25, 'epoch': 0.73}

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{'loss': 1.0496, 'grad_norm': 1.0983076095581055, 'learning_rate': 4.895296312464874e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 506.5, 'epoch': 0.73}

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{'loss': 0.9954, 'grad_norm': 1.1329846382141113, 'learning_rate': 4.892433697918768e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 459.45, 'epoch': 0.74}

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{'loss': 1.039, 'grad_norm': 1.291815161705017, 'learning_rate': 4.889533337108935e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 459.98, 'epoch': 0.74}

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{'loss': 1.0431, 'grad_norm': 0.8809608817100525, 'learning_rate': 4.886595275795383e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 503.41, 'epoch': 0.75}

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{'loss': 1.047, 'grad_norm': 1.0669974088668823, 'learning_rate': 4.8836195603329335e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 513.85, 'epoch': 0.75}

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{'loss': 1.0282, 'grad_norm': 1.1232683658599854, 'learning_rate': 4.880606237670491e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 456.41, 'epoch': 0.76}

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{'loss': 1.0415, 'grad_norm': 1.0202189683914185, 'learning_rate': 4.877555355350301e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 512.26, 'epoch': 0.76}

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{'loss': 1.0322, 'grad_norm': 1.2844234704971313, 'learning_rate': 4.8744669615072015e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.13, 'epoch': 0.76}

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{'loss': 1.0353, 'grad_norm': 1.028136134147644, 'learning_rate': 4.8713411048678635e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 508.77, 'epoch': 0.77}

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{'loss': 1.0397, 'grad_norm': 0.9930169582366943, 'learning_rate': 4.868177834750022e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 508.0, 'epoch': 0.77}

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{'loss': 1.043, 'grad_norm': 1.0289788246154785, 'learning_rate': 4.8649772010616955e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 526.03, 'epoch': 0.78}

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{'loss': 1.0374, 'grad_norm': 0.923629879951477, 'learning_rate': 4.8617392543004014e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 479.04, 'epoch': 0.78}

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{'loss': 1.0222, 'grad_norm': 1.0967282056808472, 'learning_rate': 4.8584640455523604e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 464.9, 'epoch': 0.79}

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{'loss': 1.0443, 'grad_norm': 1.5993574857711792, 'learning_rate': 4.855151626491686e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.03, 'epoch': 0.79}

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{'loss': 1.0213, 'grad_norm': 1.1585549116134644, 'learning_rate': 4.851802049379574e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 467.88, 'epoch': 0.8}

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{'eval_loss': 1.0147367715835571, 'eval_runtime': 195.7565, 'eval_samples_per_second': 5.103, 'eval_steps_per_second': 0.368, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 0.8}

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{'loss': 1.0558, 'grad_norm': 1.144241213798523, 'learning_rate': 4.8484153670634735e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 109.97, 'epoch': 0.8}

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{'loss': 1.033, 'grad_norm': 0.8619866371154785, 'learning_rate': 4.844991632976257e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 518.75, 'epoch': 0.81}

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{'loss': 1.0518, 'grad_norm': 1.1444193124771118, 'learning_rate': 4.841530901135376e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 518.64, 'epoch': 0.81}

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{'loss': 1.0305, 'grad_norm': 0.937384843826294, 'learning_rate': 4.838033226142008e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 516.59, 'epoch': 0.81}

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{'loss': 1.0417, 'grad_norm': 0.9430196285247803, 'learning_rate': 4.8344986631801944e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 515.31, 'epoch': 0.82}

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{'loss': 1.0416, 'grad_norm': 1.0032052993774414, 'learning_rate': 4.8309272680159723e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 546.53, 'epoch': 0.82}

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{'loss': 1.0054, 'grad_norm': 1.0585726499557495, 'learning_rate': 4.8273190969964936e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.0, 'epoch': 0.83}

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{'loss': 1.0343, 'grad_norm': 1.1669644117355347, 'learning_rate': 4.8236742070491356e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 534.53, 'epoch': 0.83}

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{'loss': 1.0371, 'grad_norm': 1.120493769645691, 'learning_rate': 4.819992655680601e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.88, 'epoch': 0.84}

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{'loss': 1.0289, 'grad_norm': 0.9619265198707581, 'learning_rate': 4.816274500976016e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 483.97, 'epoch': 0.84}

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{'loss': 1.029, 'grad_norm': 1.0850692987442017, 'learning_rate': 4.812519801598007e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.02, 'epoch': 0.85}

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{'loss': 1.0358, 'grad_norm': 1.7269978523254395, 'learning_rate': 4.808728616785781e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 479.95, 'epoch': 0.85}

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{'loss': 1.0154, 'grad_norm': 1.0903490781784058, 'learning_rate': 4.804901006354188e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 459.61, 'epoch': 0.86}

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{'loss': 1.0186, 'grad_norm': 1.1368602514266968, 'learning_rate': 4.801037030692776e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.83, 'epoch': 0.86}

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{'loss': 0.9895, 'grad_norm': 1.1895757913589478, 'learning_rate': 4.7971367507648424e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 464.56, 'epoch': 0.86}

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{'loss': 1.0405, 'grad_norm': 0.9769192934036255, 'learning_rate': 4.793200228106468e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 512.92, 'epoch': 0.87}

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{'loss': 1.0499, 'grad_norm': 1.0490390062332153, 'learning_rate': 4.789227524825549e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.91, 'epoch': 0.87}

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{'loss': 1.0322, 'grad_norm': 1.029001235961914, 'learning_rate': 4.785218703600815e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.91, 'epoch': 0.88}

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{'loss': 1.0196, 'grad_norm': 1.1553659439086914, 'learning_rate': 4.7811738276808415e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.05, 'epoch': 0.88}

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{'loss': 1.0324, 'grad_norm': 1.1080563068389893, 'learning_rate': 4.777092960883051e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 513.85, 'epoch': 0.89}

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{'loss': 1.04, 'grad_norm': 1.3158994913101196, 'learning_rate': 4.772976167592708e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 461.81, 'epoch': 0.89}

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{'loss': 1.0311, 'grad_norm': 1.4326947927474976, 'learning_rate': 4.768823512761901e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 508.24, 'epoch': 0.9}

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{'loss': 1.0129, 'grad_norm': 1.200109839439392, 'learning_rate': 4.764635061908517e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.06, 'epoch': 0.9}

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{'loss': 1.0137, 'grad_norm': 1.0471111536026, 'learning_rate': 4.7604108811152126e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 459.57, 'epoch': 0.91}

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{'loss': 1.0504, 'grad_norm': 1.168687343597412, 'learning_rate': 4.7561510370283654e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 510.16, 'epoch': 0.91}

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{'loss': 1.0268, 'grad_norm': 1.0843098163604736, 'learning_rate': 4.7518555968570276e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.03, 'epoch': 0.91}

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{'loss': 1.0117, 'grad_norm': 1.1069607734680176, 'learning_rate': 4.7475246283718614e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.0, 'epoch': 0.92}

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{'loss': 1.0196, 'grad_norm': 1.1321187019348145, 'learning_rate': 4.743158199904072e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.42, 'epoch': 0.92}

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{'loss': 1.0377, 'grad_norm': 1.0236319303512573, 'learning_rate': 4.73875638034433e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 483.49, 'epoch': 0.93}

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{'loss': 1.0076, 'grad_norm': 1.1202757358551025, 'learning_rate': 4.734319239141682e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.17, 'epoch': 0.93}

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{'loss': 1.0061, 'grad_norm': 1.2959187030792236, 'learning_rate': 4.72984684630246e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.26, 'epoch': 0.94}

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{'loss': 1.0143, 'grad_norm': 1.0744752883911133, 'learning_rate': 4.725339272389168e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 473.73, 'epoch': 0.94}

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{'loss': 1.0254, 'grad_norm': 1.035398006439209, 'learning_rate': 4.72079658851938e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.32, 'epoch': 0.95}

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{'loss': 0.9991, 'grad_norm': 1.0589100122451782, 'learning_rate': 4.716218866364606e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.27, 'epoch': 0.95}

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{'loss': 1.034, 'grad_norm': 1.072708010673523, 'learning_rate': 4.711606178149173e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 513.81, 'epoch': 0.96}

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{'loss': 1.0254, 'grad_norm': 1.2344636917114258, 'learning_rate': 4.706958596649076e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.35, 'epoch': 0.96}

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{'loss': 1.0171, 'grad_norm': 0.9406333565711975, 'learning_rate': 4.7022761951908365e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.51, 'epoch': 0.96}

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{'loss': 1.017, 'grad_norm': 1.1612303256988525, 'learning_rate': 4.6975590476503396e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.48, 'epoch': 0.97}

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{'loss': 1.0212, 'grad_norm': 1.5133899450302124, 'learning_rate': 4.692807228451672e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 481.52, 'epoch': 0.97}

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{'loss': 1.009, 'grad_norm': 1.1254411935806274, 'learning_rate': 4.68802081256595e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 483.76, 'epoch': 0.98}

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{'loss': 1.0262, 'grad_norm': 1.0411556959152222, 'learning_rate': 4.683199875510132e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.64, 'epoch': 0.98}

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{'loss': 1.0246, 'grad_norm': 0.979972243309021, 'learning_rate': 4.6783444933458284e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.13, 'epoch': 0.99}

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{'loss': 1.0532, 'grad_norm': 1.1155357360839844, 'learning_rate': 4.673454742678102e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 505.17, 'epoch': 0.99}

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{'loss': 1.0041, 'grad_norm': 1.1054545640945435, 'learning_rate': 4.668530700654262e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.33, 'epoch': 1.0}

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{'eval_loss': 0.9990127086639404, 'eval_runtime': 196.2105, 'eval_samples_per_second': 5.091, 'eval_steps_per_second': 0.367, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 1.0}

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{'loss': 0.9915, 'grad_norm': 1.1925528049468994, 'learning_rate': 4.663572444962643e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 156.98, 'epoch': 1.0}

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{'loss': 0.9236, 'grad_norm': 0.992103099822998, 'learning_rate': 4.6585800538313775e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.01, 'epoch': 1.01}

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{'loss': 0.9327, 'grad_norm': 1.2271318435668945, 'learning_rate': 4.65355360602717e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.63, 'epoch': 1.01}

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{'loss': 0.899, 'grad_norm': 1.0395036935806274, 'learning_rate': 4.648493180854047e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 449.05, 'epoch': 1.02}

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{'loss': 0.937, 'grad_norm': 1.3653130531311035, 'learning_rate': 4.643398858152105e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 515.45, 'epoch': 1.02}

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{'loss': 0.9242, 'grad_norm': 1.3725383281707764, 'learning_rate': 4.638270718296258e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.43, 'epoch': 1.02}

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{'loss': 0.9418, 'grad_norm': 1.0027776956558228, 'learning_rate': 4.633108842194962e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.63, 'epoch': 1.03}

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{'loss': 0.9295, 'grad_norm': 1.1604491472244263, 'learning_rate': 4.627913311288944e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 491.69, 'epoch': 1.03}

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{'loss': 0.9296, 'grad_norm': 1.3307735919952393, 'learning_rate': 4.622684207549913e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 448.98, 'epoch': 1.04}

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{'loss': 0.9336, 'grad_norm': 1.0178179740905762, 'learning_rate': 4.617421613479268e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.76, 'epoch': 1.04}

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{'loss': 0.9485, 'grad_norm': 1.0577303171157837, 'learning_rate': 4.612125612106798e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 508.24, 'epoch': 1.05}

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{'loss': 0.9341, 'grad_norm': 1.1296515464782715, 'learning_rate': 4.60679628698937e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.07, 'epoch': 1.05}

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{'loss': 0.9302, 'grad_norm': 1.32448410987854, 'learning_rate': 4.601433722209612e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.75, 'epoch': 1.06}

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{'loss': 0.9167, 'grad_norm': 1.3123842477798462, 'learning_rate': 4.5960380023745844e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 459.27, 'epoch': 1.06}

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{'loss': 0.9229, 'grad_norm': 0.8736046552658081, 'learning_rate': 4.5906092126144465e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.28, 'epoch': 1.07}

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{'loss': 0.9456, 'grad_norm': 0.9919261336326599, 'learning_rate': 4.585147438581116e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.62, 'epoch': 1.07}

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{'loss': 0.9131, 'grad_norm': 1.0609310865402222, 'learning_rate': 4.579652766446913e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 473.81, 'epoch': 1.07}

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{'loss': 0.9265, 'grad_norm': 1.113976001739502, 'learning_rate': 4.574125282903203e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.49, 'epoch': 1.08}

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{'loss': 0.9169, 'grad_norm': 1.1453485488891602, 'learning_rate': 4.568565075159027e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.74, 'epoch': 1.08}

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{'loss': 0.9068, 'grad_norm': 1.2608872652053833, 'learning_rate': 4.562972230939729e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 468.6, 'epoch': 1.09}

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{'loss': 0.9241, 'grad_norm': 1.3225691318511963, 'learning_rate': 4.55734683848557e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 464.81, 'epoch': 1.09}

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{'loss': 0.9294, 'grad_norm': 1.1706981658935547, 'learning_rate': 4.5516889865503356e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.18, 'epoch': 1.1}

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{'loss': 0.9442, 'grad_norm': 1.0240581035614014, 'learning_rate': 4.5459987643999346e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.56, 'epoch': 1.1}

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{'loss': 0.9343, 'grad_norm': 1.1509757041931152, 'learning_rate': 4.540276261810995e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.25, 'epoch': 1.11}

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{'loss': 0.9406, 'grad_norm': 1.0813158750534058, 'learning_rate': 4.534521569069441e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.6, 'epoch': 1.11}

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{'loss': 0.9137, 'grad_norm': 1.1653159856796265, 'learning_rate': 4.528734776969076e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.69, 'epoch': 1.12}

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{'loss': 0.9442, 'grad_norm': 1.3311009407043457, 'learning_rate': 4.522915976810142e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.51, 'epoch': 1.12}

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{'loss': 0.9156, 'grad_norm': 1.2626206874847412, 'learning_rate': 4.517065260397887e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 532.67, 'epoch': 1.12}

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{'loss': 0.9288, 'grad_norm': 1.1765090227127075, 'learning_rate': 4.5111827200411103e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.97, 'epoch': 1.13}

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{'loss': 0.9481, 'grad_norm': 1.1673645973205566, 'learning_rate': 4.5052684485507115e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.33, 'epoch': 1.13}

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{'loss': 0.9308, 'grad_norm': 0.9426007270812988, 'learning_rate': 4.49932253923822e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 519.72, 'epoch': 1.14}

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{'loss': 0.9325, 'grad_norm': 1.1850651502609253, 'learning_rate': 4.4933450859143285e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.12, 'epoch': 1.14}

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{'loss': 0.9442, 'grad_norm': 1.0401122570037842, 'learning_rate': 4.48733618288741e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 516.32, 'epoch': 1.15}

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{'loss': 0.9757, 'grad_norm': 2.068197011947632, 'learning_rate': 4.481295924962031e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 512.07, 'epoch': 1.15}

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{'loss': 0.9359, 'grad_norm': 1.1467478275299072, 'learning_rate': 4.4752244074374536e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 511.2, 'epoch': 1.16}

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{'loss': 0.9311, 'grad_norm': 1.0898977518081665, 'learning_rate': 4.469121726106136e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.45, 'epoch': 1.16}

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{'loss': 0.9584, 'grad_norm': 1.2766635417938232, 'learning_rate': 4.462987977252216e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 517.46, 'epoch': 1.17}

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{'loss': 0.9324, 'grad_norm': 1.1439895629882812, 'learning_rate': 4.456823257649996e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.99, 'epoch': 1.17}

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{'loss': 0.9518, 'grad_norm': 1.1042931079864502, 'learning_rate': 4.4506276645624164e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 506.33, 'epoch': 1.17}

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{'loss': 0.9297, 'grad_norm': 1.3344614505767822, 'learning_rate': 4.4444012957395156e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 491.54, 'epoch': 1.18}

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{'loss': 0.9451, 'grad_norm': 1.2166317701339722, 'learning_rate': 4.438144249416893e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 516.63, 'epoch': 1.18}

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{'loss': 0.9371, 'grad_norm': 1.0666178464889526, 'learning_rate': 4.4318566243141614e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 514.72, 'epoch': 1.19}

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{'loss': 0.9164, 'grad_norm': 0.9203543066978455, 'learning_rate': 4.425538519633379e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.06, 'epoch': 1.19}

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{'loss': 0.9459, 'grad_norm': 1.1851335763931274, 'learning_rate': 4.419190035057497e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.24, 'epoch': 1.2}

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{'eval_loss': 0.9950478672981262, 'eval_runtime': 195.7919, 'eval_samples_per_second': 5.102, 'eval_steps_per_second': 0.368, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 1.2}

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{'loss': 0.9368, 'grad_norm': 1.0488026142120361, 'learning_rate': 4.412811270748776e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 177.13, 'epoch': 1.2}

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{'loss': 0.9289, 'grad_norm': 0.9081180691719055, 'learning_rate': 4.4064023273472156e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 510.55, 'epoch': 1.21}

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{'loss': 0.9439, 'grad_norm': 1.1023324728012085, 'learning_rate': 4.3999633059689566e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 500.84, 'epoch': 1.21}

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{'loss': 0.92, 'grad_norm': 1.2254292964935303, 'learning_rate': 4.393494308204693e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 454.8, 'epoch': 1.22}

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{'loss': 0.9393, 'grad_norm': 1.0367655754089355, 'learning_rate': 4.3869954361180676e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.84, 'epoch': 1.22}

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{'loss': 0.9323, 'grad_norm': 1.5422024726867676, 'learning_rate': 4.380466792244059e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.73, 'epoch': 1.22}

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{'loss': 0.9177, 'grad_norm': 1.0496447086334229, 'learning_rate': 4.373908479587366e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.53, 'epoch': 1.23}

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{'loss': 0.9251, 'grad_norm': 1.2163076400756836, 'learning_rate': 4.367320601620784e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 483.1, 'epoch': 1.23}

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{'loss': 0.9002, 'grad_norm': 1.3128591775894165, 'learning_rate': 4.360703262283568e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 433.67, 'epoch': 1.24}

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{'loss': 0.9312, 'grad_norm': 1.1230911016464233, 'learning_rate': 4.354056565979796e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 454.13, 'epoch': 1.24}

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{'loss': 0.9268, 'grad_norm': 1.0309466123580933, 'learning_rate': 4.347380617576723e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.99, 'epoch': 1.25}

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{'loss': 0.9517, 'grad_norm': 0.8729075193405151, 'learning_rate': 4.3406755224031225e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 512.03, 'epoch': 1.25}

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{'loss': 0.9236, 'grad_norm': 1.2097883224487305, 'learning_rate': 4.3339413862476285e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.31, 'epoch': 1.26}

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{'loss': 0.9261, 'grad_norm': 1.1136751174926758, 'learning_rate': 4.327178315357063e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 510.2, 'epoch': 1.26}

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{'loss': 0.9285, 'grad_norm': 1.1039016246795654, 'learning_rate': 4.320386416434764e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 506.68, 'epoch': 1.27}

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{'loss': 0.9201, 'grad_norm': 1.1589677333831787, 'learning_rate': 4.3135657966388946e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.49, 'epoch': 1.27}

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{'loss': 0.9389, 'grad_norm': 1.0915837287902832, 'learning_rate': 4.306716563580763e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 515.74, 'epoch': 1.27}

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{'loss': 0.9502, 'grad_norm': 1.0671683549880981, 'learning_rate': 4.299838825323115e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 519.69, 'epoch': 1.28}

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{'loss': 0.9269, 'grad_norm': 1.0630742311477661, 'learning_rate': 4.2929326903784345e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.24, 'epoch': 1.28}

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{'loss': 0.924, 'grad_norm': 1.12111496925354, 'learning_rate': 4.285998267707229e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.36, 'epoch': 1.29}

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{'loss': 0.9401, 'grad_norm': 1.1524324417114258, 'learning_rate': 4.2790356667163125e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.08, 'epoch': 1.29}

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{'loss': 0.9413, 'grad_norm': 1.3202351331710815, 'learning_rate': 4.272044997257077e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.27, 'epoch': 1.3}

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{'loss': 0.908, 'grad_norm': 1.1498830318450928, 'learning_rate': 4.265026369623761e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.5, 'epoch': 1.3}

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{'loss': 0.9448, 'grad_norm': 1.057232141494751, 'learning_rate': 4.257979894551709e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.65, 'epoch': 1.31}

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{'loss': 0.9111, 'grad_norm': 1.2352851629257202, 'learning_rate': 4.2509056832156246e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 469.8, 'epoch': 1.31}

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{'loss': 0.9255, 'grad_norm': 1.4061874151229858, 'learning_rate': 4.2438038472278154e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.92, 'epoch': 1.32}

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{'loss': 0.9517, 'grad_norm': 1.0230389833450317, 'learning_rate': 4.236674498636434e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.74, 'epoch': 1.32}

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{'loss': 0.9185, 'grad_norm': 1.123724102973938, 'learning_rate': 4.229517749923708e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.22, 'epoch': 1.32}

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{'loss': 0.9355, 'grad_norm': 1.2315624952316284, 'learning_rate': 4.2223337140041645e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.01, 'epoch': 1.33}

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{'loss': 0.9217, 'grad_norm': 1.0510320663452148, 'learning_rate': 4.215122504222855e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.41, 'epoch': 1.33}

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{'loss': 0.9199, 'grad_norm': 1.1847153902053833, 'learning_rate': 4.207884234353559e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.71, 'epoch': 1.34}

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{'loss': 0.9372, 'grad_norm': 1.2461003065109253, 'learning_rate': 4.2006190185969916e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.24, 'epoch': 1.34}

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{'loss': 0.945, 'grad_norm': 1.0908567905426025, 'learning_rate': 4.193326971579008e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.48, 'epoch': 1.35}

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{'loss': 0.8984, 'grad_norm': 0.9096114039421082, 'learning_rate': 4.186008208348783e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 452.45, 'epoch': 1.35}

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{'loss': 0.9285, 'grad_norm': 1.0902049541473389, 'learning_rate': 4.178662844377006e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.1, 'epoch': 1.36}

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{'loss': 0.9319, 'grad_norm': 1.561834692955017, 'learning_rate': 4.171290995554056e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 462.48, 'epoch': 1.36}

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{'loss': 0.9382, 'grad_norm': 1.1353206634521484, 'learning_rate': 4.163892778188171e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.98, 'epoch': 1.37}

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{'loss': 0.9328, 'grad_norm': 0.9608362913131714, 'learning_rate': 4.156468309003616e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.52, 'epoch': 1.37}

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{'loss': 0.9274, 'grad_norm': 1.2019129991531372, 'learning_rate': 4.149017705138839e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 506.49, 'epoch': 1.37}

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{'loss': 0.9357, 'grad_norm': 1.0083372592926025, 'learning_rate': 4.1415410841446254e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.77, 'epoch': 1.38}

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{'loss': 0.9472, 'grad_norm': 0.9793724417686462, 'learning_rate': 4.134038563982241e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 491.95, 'epoch': 1.38}

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{'loss': 0.9446, 'grad_norm': 1.1577225923538208, 'learning_rate': 4.126510263021572e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 471.93, 'epoch': 1.39}

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{'loss': 0.902, 'grad_norm': 1.3958821296691895, 'learning_rate': 4.1189563000392564e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 466.16, 'epoch': 1.39}

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{'loss': 0.9329, 'grad_norm': 1.136844277381897, 'learning_rate': 4.111376794216813e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.98, 'epoch': 1.4}

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{'eval_loss': 0.9896542429924011, 'eval_runtime': 199.7817, 'eval_samples_per_second': 5.0, 'eval_steps_per_second': 0.36, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 1.4}

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{'loss': 0.8975, 'grad_norm': 1.1986658573150635, 'learning_rate': 4.103771865138757e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 191.15, 'epoch': 1.4}

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{'loss': 0.9352, 'grad_norm': 1.2396776676177979, 'learning_rate': 4.096141632790717e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.13, 'epoch': 1.41}

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{'loss': 0.9341, 'grad_norm': 1.1720110177993774, 'learning_rate': 4.0884862175575376e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 511.5, 'epoch': 1.41}

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{'loss': 0.932, 'grad_norm': 1.0548924207687378, 'learning_rate': 4.0808057402213855e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 519.27, 'epoch': 1.42}

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{'loss': 0.9466, 'grad_norm': 1.3402786254882812, 'learning_rate': 4.073100321959838e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.6, 'epoch': 1.42}

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{'loss': 0.9325, 'grad_norm': 1.2365429401397705, 'learning_rate': 4.065370084343978e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 473.0, 'epoch': 1.42}

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{'loss': 0.9391, 'grad_norm': 1.2400281429290771, 'learning_rate': 4.057615149336468e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 514.35, 'epoch': 1.43}

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{'loss': 0.9449, 'grad_norm': 1.0249978303909302, 'learning_rate': 4.0498356392896305e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 471.7, 'epoch': 1.43}

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{'loss': 0.9456, 'grad_norm': 1.4083410501480103, 'learning_rate': 4.042031676943521e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 528.47, 'epoch': 1.44}

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{'loss': 0.9328, 'grad_norm': 1.1018062829971313, 'learning_rate': 4.034203385423983e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 515.51, 'epoch': 1.44}

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{'loss': 0.935, 'grad_norm': 1.071813702583313, 'learning_rate': 4.0263508882407097e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.51, 'epoch': 1.45}

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{'loss': 0.9373, 'grad_norm': 0.9755890369415283, 'learning_rate': 4.0184743092853005e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 527.57, 'epoch': 1.45}

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{'loss': 0.9303, 'grad_norm': 1.1645768880844116, 'learning_rate': 4.010573772829297e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 481.61, 'epoch': 1.46}

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{'loss': 0.9087, 'grad_norm': 1.2208948135375977, 'learning_rate': 4.002649403522226e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 469.81, 'epoch': 1.46}

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{'loss': 0.9268, 'grad_norm': 1.198129653930664, 'learning_rate': 3.9947013263896385e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 459.62, 'epoch': 1.47}

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{'loss': 0.9258, 'grad_norm': 1.2478697299957275, 'learning_rate': 3.986729666831126e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.22, 'epoch': 1.47}

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{'loss': 0.9123, 'grad_norm': 1.1567541360855103, 'learning_rate': 3.978734550618353e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 473.73, 'epoch': 1.47}

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{'loss': 0.9078, 'grad_norm': 1.2206943035125732, 'learning_rate': 3.970716103893065e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 485.22, 'epoch': 1.48}

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{'loss': 0.9334, 'grad_norm': 1.3736034631729126, 'learning_rate': 3.9626744531651036e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.59, 'epoch': 1.48}

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{'loss': 0.9211, 'grad_norm': 1.0454034805297852, 'learning_rate': 3.954609725310405e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.05, 'epoch': 1.49}

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{'loss': 0.9063, 'grad_norm': 1.0870639085769653, 'learning_rate': 3.946522047569005e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 452.05, 'epoch': 1.49}

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{'loss': 0.9153, 'grad_norm': 0.9848358631134033, 'learning_rate': 3.938411547543023e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.41, 'epoch': 1.5}

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{'loss': 0.9268, 'grad_norm': 1.014233946800232, 'learning_rate': 3.930278353194658e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.53, 'epoch': 1.5}

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{'loss': 0.9417, 'grad_norm': 1.2883192300796509, 'learning_rate': 3.9221225928441634e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 455.43, 'epoch': 1.51}

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{'loss': 0.9091, 'grad_norm': 1.175374150276184, 'learning_rate': 3.913944395167825e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.19, 'epoch': 1.51}

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{'loss': 0.923, 'grad_norm': 1.1349321603775024, 'learning_rate': 3.9057438891959284e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 481.05, 'epoch': 1.52}

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{'loss': 0.94, 'grad_norm': 1.1461342573165894, 'learning_rate': 3.8975212043107274e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 526.13, 'epoch': 1.52}

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{'loss': 0.9189, 'grad_norm': 1.3331114053726196, 'learning_rate': 3.8892764702443986e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 468.65, 'epoch': 1.52}

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{'loss': 0.9374, 'grad_norm': 1.2893600463867188, 'learning_rate': 3.8810098170769964e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.33, 'epoch': 1.53}

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{'loss': 0.9344, 'grad_norm': 1.2013905048370361, 'learning_rate': 3.8727213752344015e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.3, 'epoch': 1.53}

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{'loss': 0.9253, 'grad_norm': 1.1550096273422241, 'learning_rate': 3.8644112754862614e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.09, 'epoch': 1.54}

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{'loss': 0.9166, 'grad_norm': 1.0183569192886353, 'learning_rate': 3.856079648943929e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 481.68, 'epoch': 1.54}

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{'loss': 0.942, 'grad_norm': 1.1174321174621582, 'learning_rate': 3.84772662705839e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.8, 'epoch': 1.55}

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{'loss': 0.9161, 'grad_norm': 1.1995723247528076, 'learning_rate': 3.8393523416181955e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 479.92, 'epoch': 1.55}

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{'loss': 0.9074, 'grad_norm': 1.2188096046447754, 'learning_rate': 3.8309569247473766e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 458.16, 'epoch': 1.56}

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{'loss': 0.9312, 'grad_norm': 1.2756145000457764, 'learning_rate': 3.822540508903364e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.17, 'epoch': 1.56}

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{'loss': 0.937, 'grad_norm': 1.1586005687713623, 'learning_rate': 3.814103226874896e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 473.34, 'epoch': 1.57}

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{'loss': 0.923, 'grad_norm': 1.2390333414077759, 'learning_rate': 3.805645211779924e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 506.31, 'epoch': 1.57}

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{'loss': 0.9124, 'grad_norm': 1.0773036479949951, 'learning_rate': 3.7971665970635124e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.61, 'epoch': 1.57}

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{'loss': 0.9285, 'grad_norm': 1.438437581062317, 'learning_rate': 3.788667516495732e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.1, 'epoch': 1.58}

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{'loss': 0.9061, 'grad_norm': 1.0797569751739502, 'learning_rate': 3.780148104169552e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.69, 'epoch': 1.58}

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{'loss': 0.9014, 'grad_norm': 2.565443992614746, 'learning_rate': 3.771608494498722e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 465.42, 'epoch': 1.59}

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{'loss': 0.9448, 'grad_norm': 1.248572826385498, 'learning_rate': 3.763048822215652e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 514.78, 'epoch': 1.59}

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{'loss': 0.9445, 'grad_norm': 1.2229149341583252, 'learning_rate': 3.754469222369288e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 491.23, 'epoch': 1.6}

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{'eval_loss': 0.978286862373352, 'eval_runtime': 196.934, 'eval_samples_per_second': 5.073, 'eval_steps_per_second': 0.366, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 1.6}

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{'loss': 0.9362, 'grad_norm': 1.1244183778762817, 'learning_rate': 3.745869830322979e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 234.94, 'epoch': 1.6}

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{'loss': 0.916, 'grad_norm': 0.8700757026672363, 'learning_rate': 3.7372507817523425e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.41, 'epoch': 1.61}

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{'loss': 0.9229, 'grad_norm': 1.0719106197357178, 'learning_rate': 3.7286122126431243e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.3, 'epoch': 1.61}

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{'loss': 0.9109, 'grad_norm': 1.4649990797042847, 'learning_rate': 3.719954259289053e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.75, 'epoch': 1.62}

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{'loss': 0.9168, 'grad_norm': 1.1497403383255005, 'learning_rate': 3.711277058289687e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.72, 'epoch': 1.62}

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{'loss': 0.9309, 'grad_norm': 1.1114615201950073, 'learning_rate': 3.702580746548266e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.84, 'epoch': 1.62}

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{'loss': 0.8966, 'grad_norm': 1.0297075510025024, 'learning_rate': 3.6938654612695414e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 469.83, 'epoch': 1.63}

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{'loss': 0.9375, 'grad_norm': 0.9728580713272095, 'learning_rate': 3.6851313399576205e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 491.73, 'epoch': 1.63}

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{'loss': 0.9432, 'grad_norm': 1.536992073059082, 'learning_rate': 3.6763785204137916e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.98, 'epoch': 1.64}

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{'loss': 0.9226, 'grad_norm': 1.3161475658416748, 'learning_rate': 3.6676071407343504e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.59, 'epoch': 1.64}

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{'loss': 0.9435, 'grad_norm': 1.2327815294265747, 'learning_rate': 3.6588173393084256e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.17, 'epoch': 1.65}

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{'loss': 0.9309, 'grad_norm': 1.203054666519165, 'learning_rate': 3.6500092548157905e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 508.55, 'epoch': 1.65}

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{'loss': 0.9039, 'grad_norm': 1.238101840019226, 'learning_rate': 3.641183026224675e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 462.61, 'epoch': 1.66}

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{'loss': 0.9035, 'grad_norm': 1.1978271007537842, 'learning_rate': 3.6323387927895784e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 473.23, 'epoch': 1.66}

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{'loss': 0.9249, 'grad_norm': 1.2342469692230225, 'learning_rate': 3.6234766940490654e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 516.71, 'epoch': 1.67}

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{'loss': 0.927, 'grad_norm': 1.2014917135238647, 'learning_rate': 3.61459686982357e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.19, 'epoch': 1.67}

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{'loss': 0.9165, 'grad_norm': 1.1069117784500122, 'learning_rate': 3.6056994602131864e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.47, 'epoch': 1.68}

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{'loss': 0.9243, 'grad_norm': 1.2550182342529297, 'learning_rate': 3.5967846055954594e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.09, 'epoch': 1.68}

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{'loss': 0.9316, 'grad_norm': 1.1848024129867554, 'learning_rate': 3.587852446623171e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.94, 'epoch': 1.68}

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{'loss': 0.9118, 'grad_norm': 1.1091415882110596, 'learning_rate': 3.578903124222119e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 466.38, 'epoch': 1.69}

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{'loss': 0.9016, 'grad_norm': 1.416194200515747, 'learning_rate': 3.569936779588896e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 483.76, 'epoch': 1.69}

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{'loss': 0.8922, 'grad_norm': 1.7901129722595215, 'learning_rate': 3.5609535541886564e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 473.89, 'epoch': 1.7}

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{'loss': 0.9334, 'grad_norm': 1.1177266836166382, 'learning_rate': 3.551953589752893e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.15, 'epoch': 1.7}

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{'loss': 0.9083, 'grad_norm': 1.293908953666687, 'learning_rate': 3.542937028277194e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.77, 'epoch': 1.71}

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{'loss': 0.918, 'grad_norm': 1.327156901359558, 'learning_rate': 3.533904012019007e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.53, 'epoch': 1.71}

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{'loss': 0.9167, 'grad_norm': 1.4621621370315552, 'learning_rate': 3.524854683495389e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 459.05, 'epoch': 1.72}

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{'loss': 0.9088, 'grad_norm': 1.3203855752944946, 'learning_rate': 3.515789185480763e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.55, 'epoch': 1.72}

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{'loss': 0.9222, 'grad_norm': 1.4525035619735718, 'learning_rate': 3.5067076610046637e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.94, 'epoch': 1.73}

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{'loss': 0.9337, 'grad_norm': 1.3682067394256592, 'learning_rate': 3.497610253349482e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 510.26, 'epoch': 1.73}

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{'loss': 0.9039, 'grad_norm': 1.1274014711380005, 'learning_rate': 3.488497106048202e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 441.7, 'epoch': 1.73}

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{'loss': 0.9051, 'grad_norm': 1.4040976762771606, 'learning_rate': 3.4793683628821375e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.65, 'epoch': 1.74}

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{'loss': 0.8916, 'grad_norm': 1.467485785484314, 'learning_rate': 3.470224167878665e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 463.92, 'epoch': 1.74}

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{'loss': 0.9076, 'grad_norm': 1.0342504978179932, 'learning_rate': 3.461064665308948e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 491.85, 'epoch': 1.75}

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{'loss': 0.9466, 'grad_norm': 1.26194167137146, 'learning_rate': 3.4518899996856646e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 512.34, 'epoch': 1.75}

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{'loss': 0.9154, 'grad_norm': 1.0763055086135864, 'learning_rate': 3.442700315760726e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 500.37, 'epoch': 1.76}

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{'loss': 0.9233, 'grad_norm': 1.1700631380081177, 'learning_rate': 3.433495758522991e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 483.16, 'epoch': 1.76}

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{'loss': 0.8992, 'grad_norm': 1.190200924873352, 'learning_rate': 3.4242764731959806e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 461.31, 'epoch': 1.77}

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{'loss': 0.9174, 'grad_norm': 1.285638451576233, 'learning_rate': 3.415042605235585e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.07, 'epoch': 1.77}

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{'loss': 0.9081, 'grad_norm': 1.2392321825027466, 'learning_rate': 3.4057943003277715e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.25, 'epoch': 1.78}

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{'loss': 0.9154, 'grad_norm': 1.3192247152328491, 'learning_rate': 3.396531704386282e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.57, 'epoch': 1.78}

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{'loss': 0.9097, 'grad_norm': 1.1055296659469604, 'learning_rate': 3.387254963550337e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 512.22, 'epoch': 1.78}

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{'loss': 0.9446, 'grad_norm': 1.2381501197814941, 'learning_rate': 3.37796422418232e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 540.49, 'epoch': 1.79}

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{'loss': 0.8913, 'grad_norm': 1.1021363735198975, 'learning_rate': 3.36865963286548e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 452.57, 'epoch': 1.79}

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{'loss': 0.9434, 'grad_norm': 1.132875680923462, 'learning_rate': 3.3593413364016094e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.41, 'epoch': 1.8}

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{'eval_loss': 0.9705602526664734, 'eval_runtime': 196.6587, 'eval_samples_per_second': 5.08, 'eval_steps_per_second': 0.366, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 1.8}

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{'loss': 0.9099, 'grad_norm': 1.2874317169189453, 'learning_rate': 3.3500094818087316e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 288.13, 'epoch': 1.8}

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{'loss': 0.9277, 'grad_norm': 1.1182738542556763, 'learning_rate': 3.340664216318784e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.5, 'epoch': 1.81}

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{'loss': 0.9219, 'grad_norm': 1.5167587995529175, 'learning_rate': 3.3313056873752904e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 513.06, 'epoch': 1.81}

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{'loss': 0.9023, 'grad_norm': 1.1592515707015991, 'learning_rate': 3.3219340426310366e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 479.44, 'epoch': 1.82}

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{'loss': 0.9122, 'grad_norm': 1.0731903314590454, 'learning_rate': 3.3125494299457416e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 452.3, 'epoch': 1.82}

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{'loss': 0.9147, 'grad_norm': 1.0888726711273193, 'learning_rate': 3.303151997383725e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.11, 'epoch': 1.83}

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{'loss': 0.9166, 'grad_norm': 1.3090068101882935, 'learning_rate': 3.293741893211567e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 471.9, 'epoch': 1.83}

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{'loss': 0.9221, 'grad_norm': 1.3456158638000488, 'learning_rate': 3.2843192658957774e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.15, 'epoch': 1.83}

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{'loss': 0.9416, 'grad_norm': 1.1804425716400146, 'learning_rate': 3.274884264100442e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 519.2, 'epoch': 1.84}

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{'loss': 0.9423, 'grad_norm': 1.1315155029296875, 'learning_rate': 3.265437036684889e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 516.39, 'epoch': 1.84}

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{'loss': 0.9118, 'grad_norm': 1.3613213300704956, 'learning_rate': 3.255977732701329e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 453.31, 'epoch': 1.85}

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{'loss': 0.9314, 'grad_norm': 1.228337287902832, 'learning_rate': 3.246506501392512e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 519.61, 'epoch': 1.85}

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{'loss': 0.8986, 'grad_norm': 1.2855277061462402, 'learning_rate': 3.237023492189369e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 470.9, 'epoch': 1.86}

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{'loss': 0.9312, 'grad_norm': 1.2580296993255615, 'learning_rate': 3.227528854708656e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 516.12, 'epoch': 1.86}

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{'loss': 0.9247, 'grad_norm': 1.3489645719528198, 'learning_rate': 3.21802273875059e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.42, 'epoch': 1.87}

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{'loss': 0.9119, 'grad_norm': 1.118877649307251, 'learning_rate': 3.208505294296491e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 513.96, 'epoch': 1.87}

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{'loss': 0.9069, 'grad_norm': 1.4261683225631714, 'learning_rate': 3.198976671506409e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 468.09, 'epoch': 1.88}

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{'loss': 0.9471, 'grad_norm': 1.2352209091186523, 'learning_rate': 3.1894370207167625e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 527.79, 'epoch': 1.88}

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{'loss': 0.9172, 'grad_norm': 1.480117678642273, 'learning_rate': 3.179886492437958e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.22, 'epoch': 1.88}

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{'loss': 0.9114, 'grad_norm': 1.1455492973327637, 'learning_rate': 3.170325237352024e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.15, 'epoch': 1.89}

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{'loss': 0.9251, 'grad_norm': 1.2906856536865234, 'learning_rate': 3.160753406310229e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.01, 'epoch': 1.89}

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{'loss': 0.9145, 'grad_norm': 1.0654765367507935, 'learning_rate': 3.1511711503307e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 519.46, 'epoch': 1.9}

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{'loss': 0.8849, 'grad_norm': 1.24265456199646, 'learning_rate': 3.141578620596043e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 457.22, 'epoch': 1.9}

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{'loss': 0.9141, 'grad_norm': 1.462532639503479, 'learning_rate': 3.1319759684509584e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 512.24, 'epoch': 1.91}

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{'loss': 0.913, 'grad_norm': 1.3084138631820679, 'learning_rate': 3.1223633453998466e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.48, 'epoch': 1.91}

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{'loss': 0.9466, 'grad_norm': 1.0528351068496704, 'learning_rate': 3.112740903104428e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 500.61, 'epoch': 1.92}

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{'loss': 0.8976, 'grad_norm': 1.1360912322998047, 'learning_rate': 3.103108793381341e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.0, 'epoch': 1.92}

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{'loss': 0.924, 'grad_norm': 1.2134554386138916, 'learning_rate': 3.093467168199754e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.54, 'epoch': 1.93}

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{'loss': 0.9113, 'grad_norm': 1.0968073606491089, 'learning_rate': 3.083816179678958e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.57, 'epoch': 1.93}

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{'loss': 0.9019, 'grad_norm': 1.332603096961975, 'learning_rate': 3.074155980085979e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.06, 'epoch': 1.93}

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{'loss': 0.9203, 'grad_norm': 1.3806955814361572, 'learning_rate': 3.0644867218331665e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.01, 'epoch': 1.94}

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{'loss': 0.9105, 'grad_norm': 0.9688365459442139, 'learning_rate': 3.0548085574757905e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.31, 'epoch': 1.94}

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{'loss': 0.918, 'grad_norm': 1.2917383909225464, 'learning_rate': 3.0451216397096392e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.58, 'epoch': 1.95}

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{'loss': 0.9047, 'grad_norm': 1.3599040508270264, 'learning_rate': 3.035426121368603e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.0, 'epoch': 1.95}

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{'loss': 0.9173, 'grad_norm': 1.3930363655090332, 'learning_rate': 3.025722155422268e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 527.52, 'epoch': 1.96}

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{'loss': 0.914, 'grad_norm': 0.9727678894996643, 'learning_rate': 3.0160098949735012e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.03, 'epoch': 1.96}

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{'loss': 0.9023, 'grad_norm': 1.0985159873962402, 'learning_rate': 3.0062894932560337e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 463.01, 'epoch': 1.97}

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{'loss': 0.9078, 'grad_norm': 1.1219627857208252, 'learning_rate': 2.9965611036320475e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.04, 'epoch': 1.97}

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{'loss': 0.9023, 'grad_norm': 1.338707447052002, 'learning_rate': 2.986824879589748e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 465.85, 'epoch': 1.98}

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{'loss': 0.9288, 'grad_norm': 1.3754671812057495, 'learning_rate': 2.9770809747409507e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.93, 'epoch': 1.98}

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{'loss': 0.9, 'grad_norm': 1.4110934734344482, 'learning_rate': 2.9673295428186514e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 459.3, 'epoch': 1.98}

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{'loss': 0.9236, 'grad_norm': 1.1868780851364136, 'learning_rate': 2.9575707376746053e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.74, 'epoch': 1.99}

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{'loss': 0.9106, 'grad_norm': 1.1212882995605469, 'learning_rate': 2.9478047132768955e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 491.25, 'epoch': 1.99}

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{'loss': 0.88, 'grad_norm': 1.2349896430969238, 'learning_rate': 2.9380316237075073e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 458.6, 'epoch': 2.0}

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{'eval_loss': 0.962039589881897, 'eval_runtime': 200.4223, 'eval_samples_per_second': 4.984, 'eval_steps_per_second': 0.359, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 2.0}

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{'loss': 0.8407, 'grad_norm': 1.1923445463180542, 'learning_rate': 2.928251623159895e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 289.45, 'epoch': 2.0}

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{'loss': 0.7675, 'grad_norm': 1.174663782119751, 'learning_rate': 2.91846486593655e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.7, 'epoch': 2.01}

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{'loss': 0.7855, 'grad_norm': 1.2221143245697021, 'learning_rate': 2.908671506446566e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.95, 'epoch': 2.01}

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{'loss': 0.8037, 'grad_norm': 1.3807263374328613, 'learning_rate': 2.8988716992032028e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 485.08, 'epoch': 2.02}

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{'loss': 0.7763, 'grad_norm': 1.2672842741012573, 'learning_rate': 2.8890655988214483e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.79, 'epoch': 2.02}

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{'loss': 0.781, 'grad_norm': 1.3480112552642822, 'learning_rate': 2.8792533600155813e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 503.58, 'epoch': 2.03}

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{'loss': 0.7686, 'grad_norm': 1.296072244644165, 'learning_rate': 2.869435137596727e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.56, 'epoch': 2.03}

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{'loss': 0.7609, 'grad_norm': 1.4430197477340698, 'learning_rate': 2.8596110864704168e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.36, 'epoch': 2.03}

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{'loss': 0.7875, 'grad_norm': 1.331939458847046, 'learning_rate': 2.849781361634143e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 527.72, 'epoch': 2.04}

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{'loss': 0.7658, 'grad_norm': 1.3159470558166504, 'learning_rate': 2.839946118174914e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 473.05, 'epoch': 2.04}

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{'loss': 0.7939, 'grad_norm': 1.3375674486160278, 'learning_rate': 2.8301055112668083e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 521.71, 'epoch': 2.05}

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{'loss': 0.7653, 'grad_norm': 1.4380762577056885, 'learning_rate': 2.8202596961685256e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 481.08, 'epoch': 2.05}

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{'loss': 0.7688, 'grad_norm': 1.2875185012817383, 'learning_rate': 2.8104088282209357e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.39, 'epoch': 2.06}

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{'loss': 0.7784, 'grad_norm': 1.0484875440597534, 'learning_rate': 2.8005530628446297e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.61, 'epoch': 2.06}

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{'loss': 0.7757, 'grad_norm': 1.2280105352401733, 'learning_rate': 2.790692555537468e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 506.42, 'epoch': 2.07}

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{'loss': 0.7623, 'grad_norm': 1.350639820098877, 'learning_rate': 2.7808274618721242e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 459.39, 'epoch': 2.07}

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{'loss': 0.7781, 'grad_norm': 1.449352502822876, 'learning_rate': 2.7709579374936328e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 485.84, 'epoch': 2.08}

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{'loss': 0.7661, 'grad_norm': 1.2269128561019897, 'learning_rate': 2.7610841381169362e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.16, 'epoch': 2.08}

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{'loss': 0.7809, 'grad_norm': 1.1848582029342651, 'learning_rate': 2.7512062195244215e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.9, 'epoch': 2.08}

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{'loss': 0.7771, 'grad_norm': 1.2756482362747192, 'learning_rate': 2.741324337563467e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.14, 'epoch': 2.09}

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{'loss': 0.767, 'grad_norm': 1.1643390655517578, 'learning_rate': 2.7314386481439835e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.41, 'epoch': 2.09}

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{'loss': 0.7718, 'grad_norm': 1.5686687231063843, 'learning_rate': 2.7215493072359516e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.55, 'epoch': 2.1}

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{'loss': 0.7766, 'grad_norm': 1.5676182508468628, 'learning_rate': 2.711656470866964e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 455.68, 'epoch': 2.1}

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{'loss': 0.7783, 'grad_norm': 1.47994863986969, 'learning_rate': 2.7017602951197636e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 479.33, 'epoch': 2.11}

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{'loss': 0.7853, 'grad_norm': 1.0682467222213745, 'learning_rate': 2.6918609361297768e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 513.59, 'epoch': 2.11}

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{'loss': 0.7667, 'grad_norm': 1.425839900970459, 'learning_rate': 2.6819585500826565e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 481.54, 'epoch': 2.12}

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{'loss': 0.7465, 'grad_norm': 1.410832166671753, 'learning_rate': 2.672053293211811e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 461.33, 'epoch': 2.12}

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{'loss': 0.7666, 'grad_norm': 1.1838409900665283, 'learning_rate': 2.6621453217959454e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.97, 'epoch': 2.13}

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{'loss': 0.7888, 'grad_norm': 1.1752251386642456, 'learning_rate': 2.652234792156592e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 514.93, 'epoch': 2.13}

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{'loss': 0.7784, 'grad_norm': 1.3073374032974243, 'learning_rate': 2.642321860655646e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.12, 'epoch': 2.13}

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{'loss': 0.7972, 'grad_norm': 1.4693443775177002, 'learning_rate': 2.6324066836928964e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.86, 'epoch': 2.14}

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{'loss': 0.768, 'grad_norm': 2.2674715518951416, 'learning_rate': 2.6224894177035602e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 481.52, 'epoch': 2.14}

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{'loss': 0.788, 'grad_norm': 1.593753457069397, 'learning_rate': 2.6125702191558132e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.07, 'epoch': 2.15}

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{'loss': 0.7793, 'grad_norm': 1.3500062227249146, 'learning_rate': 2.602649244548322e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.81, 'epoch': 2.15}

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{'loss': 0.7698, 'grad_norm': 1.6638089418411255, 'learning_rate': 2.592726650407777e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 470.88, 'epoch': 2.16}

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{'loss': 0.7889, 'grad_norm': 1.292625904083252, 'learning_rate': 2.5828025932864164e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.5, 'epoch': 2.16}

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{'loss': 0.765, 'grad_norm': 1.1630120277404785, 'learning_rate': 2.572877229759563e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 470.94, 'epoch': 2.17}

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{'loss': 0.7917, 'grad_norm': 1.2248200178146362, 'learning_rate': 2.562950716423152e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 505.26, 'epoch': 2.17}

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{'loss': 0.7987, 'grad_norm': 1.4750016927719116, 'learning_rate': 2.5530232098912566e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.5, 'epoch': 2.18}

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{'loss': 0.7918, 'grad_norm': 1.1996573209762573, 'learning_rate': 2.5430948667936215e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.39, 'epoch': 2.18}

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{'loss': 0.807, 'grad_norm': 1.2561222314834595, 'learning_rate': 2.5331658437731925e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 534.12, 'epoch': 2.18}

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{'loss': 0.7788, 'grad_norm': 1.34530508518219, 'learning_rate': 2.5232362974836394e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.18, 'epoch': 2.19}

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{'loss': 0.7896, 'grad_norm': 1.4375536441802979, 'learning_rate': 2.513306384586888e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.1, 'epoch': 2.19}

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{'loss': 0.8008, 'grad_norm': 1.1456172466278076, 'learning_rate': 2.5033762617506507e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 515.79, 'epoch': 2.2}

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{'eval_loss': 0.9876511096954346, 'eval_runtime': 195.9364, 'eval_samples_per_second': 5.099, 'eval_steps_per_second': 0.367, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 2.2}

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{'loss': 0.7625, 'grad_norm': 1.0658150911331177, 'learning_rate': 2.4934460856459503e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 312.8, 'epoch': 2.2}

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{'loss': 0.7795, 'grad_norm': 1.3847614526748657, 'learning_rate': 2.48351601294465e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.79, 'epoch': 2.21}

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{'loss': 0.7945, 'grad_norm': 1.2221823930740356, 'learning_rate': 2.4735862003169822e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 517.91, 'epoch': 2.21}

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{'loss': 0.7816, 'grad_norm': 1.1758830547332764, 'learning_rate': 2.4636568044290763e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.86, 'epoch': 2.22}

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{'loss': 0.7831, 'grad_norm': 1.3471750020980835, 'learning_rate': 2.453727981940486e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.74, 'epoch': 2.22}

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{'loss': 0.7814, 'grad_norm': 1.4884663820266724, 'learning_rate': 2.443799889501718e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.79, 'epoch': 2.23}

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{'loss': 0.7873, 'grad_norm': 1.2731692790985107, 'learning_rate': 2.433872683751762e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 515.67, 'epoch': 2.23}

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{'loss': 0.7994, 'grad_norm': 1.2478971481323242, 'learning_rate': 2.4239465213156158e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.44, 'epoch': 2.23}

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{'loss': 0.7835, 'grad_norm': 1.6925835609436035, 'learning_rate': 2.4140215588018204e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.4, 'epoch': 2.24}

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{'loss': 0.7846, 'grad_norm': 1.3365802764892578, 'learning_rate': 2.404097952799981e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.07, 'epoch': 2.24}

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{'loss': 0.7863, 'grad_norm': 1.4315035343170166, 'learning_rate': 2.3941758598783027e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.25, 'epoch': 2.25}

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{'loss': 0.7891, 'grad_norm': 1.3341989517211914, 'learning_rate': 2.384255436581118e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.09, 'epoch': 2.25}

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{'loss': 0.7807, 'grad_norm': 1.4974217414855957, 'learning_rate': 2.374336839426418e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 512.86, 'epoch': 2.26}

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{'loss': 0.766, 'grad_norm': 1.382554531097412, 'learning_rate': 2.3644202249033794e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 461.26, 'epoch': 2.26}

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{'loss': 0.7652, 'grad_norm': 1.6081000566482544, 'learning_rate': 2.3545057494699013e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.15, 'epoch': 2.27}

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{'loss': 0.7904, 'grad_norm': 1.4605951309204102, 'learning_rate': 2.3445935695501326e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.98, 'epoch': 2.27}

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{'loss': 0.7897, 'grad_norm': 1.3324612379074097, 'learning_rate': 2.334683841532004e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 516.96, 'epoch': 2.28}

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{'loss': 0.7878, 'grad_norm': 1.165163278579712, 'learning_rate': 2.324776721764763e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.98, 'epoch': 2.28}

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{'loss': 0.7987, 'grad_norm': 1.2003819942474365, 'learning_rate': 2.3148723665565053e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 521.37, 'epoch': 2.28}

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{'loss': 0.7858, 'grad_norm': 1.0604358911514282, 'learning_rate': 2.3049709321717085e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 512.62, 'epoch': 2.29}

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{'loss': 0.7859, 'grad_norm': 1.1268080472946167, 'learning_rate': 2.2950725748287695e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 509.62, 'epoch': 2.29}

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{'loss': 0.7769, 'grad_norm': 1.4554740190505981, 'learning_rate': 2.285177450697535e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 465.16, 'epoch': 2.3}

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{'loss': 0.7842, 'grad_norm': 1.524244785308838, 'learning_rate': 2.2752857158968422e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.96, 'epoch': 2.3}

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{'loss': 0.7811, 'grad_norm': 1.4134726524353027, 'learning_rate': 2.265397526492052e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.78, 'epoch': 2.31}

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{'loss': 0.7762, 'grad_norm': 1.3532620668411255, 'learning_rate': 2.2555130384925902e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.13, 'epoch': 2.31}

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{'loss': 0.7758, 'grad_norm': 1.1549259424209595, 'learning_rate': 2.2456324078494817e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.57, 'epoch': 2.32}

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{'loss': 0.7813, 'grad_norm': 1.4226809740066528, 'learning_rate': 2.2357557904528954e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 520.0, 'epoch': 2.32}

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{'loss': 0.783, 'grad_norm': 1.2407307624816895, 'learning_rate': 2.2258833421296805e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.26, 'epoch': 2.33}

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{'loss': 0.7754, 'grad_norm': 1.4377738237380981, 'learning_rate': 2.2160152186409086e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.07, 'epoch': 2.33}

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{'loss': 0.7503, 'grad_norm': 1.3697234392166138, 'learning_rate': 2.206151575679418e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 450.66, 'epoch': 2.34}

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{'loss': 0.777, 'grad_norm': 1.3014477491378784, 'learning_rate': 2.196292568867355e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 468.95, 'epoch': 2.34}

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{'loss': 0.7826, 'grad_norm': 1.505482792854309, 'learning_rate': 2.1864383537537202e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.49, 'epoch': 2.34}

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{'loss': 0.7862, 'grad_norm': 1.2439770698547363, 'learning_rate': 2.1765890858119155e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 523.79, 'epoch': 2.35}

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{'loss': 0.7912, 'grad_norm': 1.4096859693527222, 'learning_rate': 2.166744920437287e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.92, 'epoch': 2.35}

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{'loss': 0.8071, 'grad_norm': 1.6719779968261719, 'learning_rate': 2.1569060129446777e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.04, 'epoch': 2.36}

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{'loss': 0.7829, 'grad_norm': 1.2982172966003418, 'learning_rate': 2.147072518565974e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 525.2, 'epoch': 2.36}

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{'loss': 0.7864, 'grad_norm': 1.4265486001968384, 'learning_rate': 2.137244592447658e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.69, 'epoch': 2.37}

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{'loss': 0.7814, 'grad_norm': 1.3955106735229492, 'learning_rate': 2.1274223896483588e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.84, 'epoch': 2.37}

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{'loss': 0.7529, 'grad_norm': 1.1367692947387695, 'learning_rate': 2.117606065136409e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 485.36, 'epoch': 2.38}

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{'loss': 0.8125, 'grad_norm': 1.3815332651138306, 'learning_rate': 2.107795773787395e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 514.08, 'epoch': 2.38}

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{'loss': 0.7574, 'grad_norm': 1.6012133359909058, 'learning_rate': 2.097991670381717e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.46, 'epoch': 2.39}

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{'loss': 0.7773, 'grad_norm': 1.2156130075454712, 'learning_rate': 2.088193909602145e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 468.74, 'epoch': 2.39}

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{'loss': 0.7978, 'grad_norm': 1.4776896238327026, 'learning_rate': 2.0784026460313808e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.34, 'epoch': 2.39}

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{'loss': 0.7725, 'grad_norm': 1.4902770519256592, 'learning_rate': 2.0686180341496146e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 448.73, 'epoch': 2.4}

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{'eval_loss': 0.9867295622825623, 'eval_runtime': 195.2766, 'eval_samples_per_second': 5.116, 'eval_steps_per_second': 0.369, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 2.4}

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{'loss': 0.7874, 'grad_norm': 1.4182987213134766, 'learning_rate': 2.0588402283320937e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 356.84, 'epoch': 2.4}

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{'loss': 0.7775, 'grad_norm': 1.3437907695770264, 'learning_rate': 2.0490693828466823e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.85, 'epoch': 2.41}

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{'loss': 0.7888, 'grad_norm': 1.3449835777282715, 'learning_rate': 2.0393056518514288e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.83, 'epoch': 2.41}

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{'loss': 0.7625, 'grad_norm': 1.2085769176483154, 'learning_rate': 2.0295491893921345e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.2, 'epoch': 2.42}

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{'loss': 0.7863, 'grad_norm': 1.3855311870574951, 'learning_rate': 2.0198001493999215e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.99, 'epoch': 2.42}

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{'loss': 0.779, 'grad_norm': 1.5885320901870728, 'learning_rate': 2.0100586856888054e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 506.83, 'epoch': 2.43}

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{'loss': 0.7898, 'grad_norm': 1.4351317882537842, 'learning_rate': 2.0003249519532696e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 510.22, 'epoch': 2.43}

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{'loss': 0.7752, 'grad_norm': 1.4788719415664673, 'learning_rate': 1.9905991017658364e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.65, 'epoch': 2.44}

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{'loss': 0.777, 'grad_norm': 1.8284074068069458, 'learning_rate': 1.9808812885746492e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 470.51, 'epoch': 2.44}

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{'loss': 0.7875, 'grad_norm': 1.3145912885665894, 'learning_rate': 1.9711716657010464e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.91, 'epoch': 2.44}

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{'loss': 0.7768, 'grad_norm': 1.4024999141693115, 'learning_rate': 1.9614703863371473e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.1, 'epoch': 2.45}

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{'loss': 0.7665, 'grad_norm': 1.2669835090637207, 'learning_rate': 1.9517776035434298e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 465.45, 'epoch': 2.45}

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{'loss': 0.747, 'grad_norm': 1.4060825109481812, 'learning_rate': 1.9420934702463223e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.99, 'epoch': 2.46}

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{'loss': 0.7568, 'grad_norm': 1.4920679330825806, 'learning_rate': 1.9324181392357837e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 471.28, 'epoch': 2.46}

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{'loss': 0.7657, 'grad_norm': 1.3667105436325073, 'learning_rate': 1.922751763162898e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 458.79, 'epoch': 2.47}

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{'loss': 0.7625, 'grad_norm': 1.24141526222229, 'learning_rate': 1.9130944945374628e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.58, 'epoch': 2.47}

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{'loss': 0.7703, 'grad_norm': 1.4876346588134766, 'learning_rate': 1.9034464857255856e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.16, 'epoch': 2.48}

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{'loss': 0.7652, 'grad_norm': 1.2360036373138428, 'learning_rate': 1.893807888947277e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 491.55, 'epoch': 2.48}

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{'loss': 0.7767, 'grad_norm': 1.5152608156204224, 'learning_rate': 1.8841788562740528e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.47, 'epoch': 2.49}

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{'loss': 0.7812, 'grad_norm': 1.4290846586227417, 'learning_rate': 1.8745595396265305e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.87, 'epoch': 2.49}

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{'loss': 0.7831, 'grad_norm': 1.3766820430755615, 'learning_rate': 1.864950090772036e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.86, 'epoch': 2.49}

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{'loss': 0.7738, 'grad_norm': 1.2925307750701904, 'learning_rate': 1.8553506613222056e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.61, 'epoch': 2.5}

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{'loss': 0.7921, 'grad_norm': 1.4461274147033691, 'learning_rate': 1.845761402730598e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.47, 'epoch': 2.5}

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{'loss': 0.7685, 'grad_norm': 1.3631300926208496, 'learning_rate': 1.836182466290302e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.4, 'epoch': 2.51}

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{'loss': 0.78, 'grad_norm': 1.1906591653823853, 'learning_rate': 1.8266140031315503e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.81, 'epoch': 2.51}

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{'loss': 0.7766, 'grad_norm': 1.3514851331710815, 'learning_rate': 1.8170561642193345e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.14, 'epoch': 2.52}

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{'loss': 0.7927, 'grad_norm': 1.5444172620773315, 'learning_rate': 1.807509100351024e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 505.9, 'epoch': 2.52}

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{'loss': 0.7759, 'grad_norm': 1.380354642868042, 'learning_rate': 1.797972962153987e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.04, 'epoch': 2.53}

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{'loss': 0.7711, 'grad_norm': 1.250873327255249, 'learning_rate': 1.7884479000832126e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 460.58, 'epoch': 2.53}

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{'loss': 0.7771, 'grad_norm': 1.5400545597076416, 'learning_rate': 1.778934064418939e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.82, 'epoch': 2.54}

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{'loss': 0.7701, 'grad_norm': 1.4404981136322021, 'learning_rate': 1.7694316052642808e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.42, 'epoch': 2.54}

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{'loss': 0.767, 'grad_norm': 1.529981017112732, 'learning_rate': 1.7599406725428617e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 464.07, 'epoch': 2.54}

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{'loss': 0.7719, 'grad_norm': 1.5745155811309814, 'learning_rate': 1.7504614159964493e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.73, 'epoch': 2.55}

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{'loss': 0.7791, 'grad_norm': 1.2950514554977417, 'learning_rate': 1.7409939851825908e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 483.06, 'epoch': 2.55}

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{'loss': 0.7746, 'grad_norm': 1.6050091981887817, 'learning_rate': 1.7315385294722555e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.37, 'epoch': 2.56}

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{'loss': 0.7847, 'grad_norm': 1.3216919898986816, 'learning_rate': 1.722095198047477e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.94, 'epoch': 2.56}

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{'loss': 0.758, 'grad_norm': 1.2275587320327759, 'learning_rate': 1.7126641398990013e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 469.97, 'epoch': 2.57}

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{'loss': 0.7785, 'grad_norm': 1.3859919309616089, 'learning_rate': 1.703245503823932e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.57, 'epoch': 2.57}

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{'loss': 0.7939, 'grad_norm': 1.4800488948822021, 'learning_rate': 1.6938394384233878e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 520.75, 'epoch': 2.58}

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{'loss': 0.7654, 'grad_norm': 1.154043436050415, 'learning_rate': 1.6844460921001534e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 445.36, 'epoch': 2.58}

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{'loss': 0.7612, 'grad_norm': 1.4552162885665894, 'learning_rate': 1.6750656130563415e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.73, 'epoch': 2.59}

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{'loss': 0.7607, 'grad_norm': 1.4212393760681152, 'learning_rate': 1.6656981492910527e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 479.16, 'epoch': 2.59}

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{'loss': 0.8062, 'grad_norm': 1.3629285097122192, 'learning_rate': 1.6563438485980415e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 523.95, 'epoch': 2.59}

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{'loss': 0.781, 'grad_norm': 1.4396235942840576, 'learning_rate': 1.6470028585633833e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.82, 'epoch': 2.6}

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{'eval_loss': 0.9801340699195862, 'eval_runtime': 197.5937, 'eval_samples_per_second': 5.056, 'eval_steps_per_second': 0.364, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 2.6}

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{'loss': 0.7819, 'grad_norm': 1.6099671125411987, 'learning_rate': 1.6376753265631474e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 377.83, 'epoch': 2.6}

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{'loss': 0.7681, 'grad_norm': 1.198883056640625, 'learning_rate': 1.6283613997610696e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.68, 'epoch': 2.61}

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{'loss': 0.7823, 'grad_norm': 1.4042035341262817, 'learning_rate': 1.619061225106234e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.33, 'epoch': 2.61}

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{'loss': 0.7507, 'grad_norm': 1.3731398582458496, 'learning_rate': 1.6097749493307497e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 456.94, 'epoch': 2.62}

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{'loss': 0.7715, 'grad_norm': 1.2420955896377563, 'learning_rate': 1.6005027189474396e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.3, 'epoch': 2.62}

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{'loss': 0.7693, 'grad_norm': 1.4313956499099731, 'learning_rate': 1.5912446802475277e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 511.5, 'epoch': 2.63}

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{'loss': 0.7713, 'grad_norm': 1.4873028993606567, 'learning_rate': 1.5820009792983303e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 485.58, 'epoch': 2.63}

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{'loss': 0.7658, 'grad_norm': 1.6724083423614502, 'learning_rate': 1.5727717619409528e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.25, 'epoch': 2.64}

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{'loss': 0.7635, 'grad_norm': 1.4013808965682983, 'learning_rate': 1.5635571737879874e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.29, 'epoch': 2.64}

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{'loss': 0.78, 'grad_norm': 1.3551985025405884, 'learning_rate': 1.554357360221216e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 508.26, 'epoch': 2.64}

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{'loss': 0.7927, 'grad_norm': 1.2868053913116455, 'learning_rate': 1.5451724663893164e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.48, 'epoch': 2.65}

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{'loss': 0.7704, 'grad_norm': 1.7285215854644775, 'learning_rate': 1.5360026372055732e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.78, 'epoch': 2.65}

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{'loss': 0.7576, 'grad_norm': 1.232396125793457, 'learning_rate': 1.5268480173455908e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 457.72, 'epoch': 2.66}

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{'loss': 0.7793, 'grad_norm': 1.3689206838607788, 'learning_rate': 1.5177087512450109e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.38, 'epoch': 2.66}

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{'loss': 0.7685, 'grad_norm': 1.5284311771392822, 'learning_rate': 1.508584983097233e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.96, 'epoch': 2.67}

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{'loss': 0.7908, 'grad_norm': 1.5343505144119263, 'learning_rate': 1.4994768568511397e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 516.69, 'epoch': 2.67}

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{'loss': 0.7841, 'grad_norm': 1.3912273645401, 'learning_rate': 1.490384516208827e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 462.58, 'epoch': 2.68}

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{'loss': 0.7732, 'grad_norm': 1.5467596054077148, 'learning_rate': 1.4813081046233345e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.35, 'epoch': 2.68}

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{'loss': 0.7824, 'grad_norm': 1.345490574836731, 'learning_rate': 1.4722477652963845e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 514.75, 'epoch': 2.69}

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{'loss': 0.7539, 'grad_norm': 1.342452049255371, 'learning_rate': 1.4632036411761223e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.06, 'epoch': 2.69}

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{'loss': 0.7648, 'grad_norm': 1.4391672611236572, 'learning_rate': 1.4541758749548581e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.41, 'epoch': 2.69}

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{'loss': 0.7898, 'grad_norm': 1.5603262186050415, 'learning_rate': 1.4451646090668197e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.48, 'epoch': 2.7}

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{'loss': 0.7741, 'grad_norm': 1.3951871395111084, 'learning_rate': 1.4361699856859023e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.26, 'epoch': 2.7}

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{'loss': 0.7904, 'grad_norm': 1.4717990159988403, 'learning_rate': 1.427192146723427e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 506.01, 'epoch': 2.71}

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{'loss': 0.7689, 'grad_norm': 1.3117893934249878, 'learning_rate': 1.4182312338259007e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 465.68, 'epoch': 2.71}

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{'loss': 0.7682, 'grad_norm': 1.1606810092926025, 'learning_rate': 1.4092873883727829e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.78, 'epoch': 2.72}

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{'loss': 0.7677, 'grad_norm': 1.2451289892196655, 'learning_rate': 1.4003607514742529e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.97, 'epoch': 2.72}

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{'loss': 0.7496, 'grad_norm': 1.4051967859268188, 'learning_rate': 1.3914514639689841e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.44, 'epoch': 2.73}

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{'loss': 0.7821, 'grad_norm': 1.65287446975708, 'learning_rate': 1.3825596664219254e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.98, 'epoch': 2.73}

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{'loss': 0.7765, 'grad_norm': 1.2787915468215942, 'learning_rate': 1.3736854991220777e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.55, 'epoch': 2.74}

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{'loss': 0.777, 'grad_norm': 1.6088179349899292, 'learning_rate': 1.364829102080284e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.44, 'epoch': 2.74}

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{'loss': 0.7788, 'grad_norm': 1.7011981010437012, 'learning_rate': 1.35599061502702e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.22, 'epoch': 2.74}

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{'loss': 0.7916, 'grad_norm': 1.3469337224960327, 'learning_rate': 1.3471701774101892e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 463.97, 'epoch': 2.75}

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{'loss': 0.7767, 'grad_norm': 1.2775756120681763, 'learning_rate': 1.3383679283929223e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.9, 'epoch': 2.75}

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{'loss': 0.7575, 'grad_norm': 1.406716227531433, 'learning_rate': 1.3295840068513832e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.82, 'epoch': 2.76}

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{'loss': 0.778, 'grad_norm': 1.6327651739120483, 'learning_rate': 1.3208185513725758e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.54, 'epoch': 2.76}

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{'loss': 0.7744, 'grad_norm': 1.525422215461731, 'learning_rate': 1.3120717002521588e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 463.67, 'epoch': 2.77}

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{'loss': 0.7763, 'grad_norm': 1.5094884634017944, 'learning_rate': 1.3033435914922637e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 479.77, 'epoch': 2.77}

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{'loss': 0.773, 'grad_norm': 1.7871735095977783, 'learning_rate': 1.2946343627993166e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.31, 'epoch': 2.78}

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{'loss': 0.7703, 'grad_norm': 1.6897590160369873, 'learning_rate': 1.2859441515818656e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 510.29, 'epoch': 2.78}

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{'loss': 0.765, 'grad_norm': 1.4181755781173706, 'learning_rate': 1.2772730949484168e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 503.15, 'epoch': 2.79}

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{'loss': 0.7762, 'grad_norm': 1.358834147453308, 'learning_rate': 1.2686213297052638e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.07, 'epoch': 2.79}

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{'loss': 0.7621, 'grad_norm': 1.68776273727417, 'learning_rate': 1.2599889923543349e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 510.27, 'epoch': 2.79}

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{'loss': 0.7722, 'grad_norm': 1.5909497737884521, 'learning_rate': 1.2513762190910372e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.41, 'epoch': 2.8}

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{'eval_loss': 0.978504478931427, 'eval_runtime': 199.068, 'eval_samples_per_second': 5.018, 'eval_steps_per_second': 0.362, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 2.8}

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{'loss': 0.7839, 'grad_norm': 1.3685954809188843, 'learning_rate': 1.2427831458021094e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 430.53, 'epoch': 2.8}

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{'loss': 0.7794, 'grad_norm': 1.3834000825881958, 'learning_rate': 1.2342099080634754e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 483.33, 'epoch': 2.81}

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{'loss': 0.7918, 'grad_norm': 1.3825865983963013, 'learning_rate': 1.2256566411381074e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.53, 'epoch': 2.81}

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{'loss': 0.7689, 'grad_norm': 1.6372039318084717, 'learning_rate': 1.2171234799738914e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 454.37, 'epoch': 2.82}

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{'loss': 0.7569, 'grad_norm': 1.580826997756958, 'learning_rate': 1.2086105592014974e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 467.76, 'epoch': 2.82}

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{'loss': 0.758, 'grad_norm': 1.1925673484802246, 'learning_rate': 1.2001180131322553e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.36, 'epoch': 2.83}

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{'loss': 0.7612, 'grad_norm': 1.757616639137268, 'learning_rate': 1.1916459757560367e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 479.46, 'epoch': 2.83}

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{'loss': 0.7944, 'grad_norm': 1.388952612876892, 'learning_rate': 1.1831945807391394e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.87, 'epoch': 2.84}

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{'loss': 0.754, 'grad_norm': 1.3602991104125977, 'learning_rate': 1.1747639614221823e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 479.19, 'epoch': 2.84}

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{'loss': 0.7804, 'grad_norm': 1.4546005725860596, 'learning_rate': 1.1663542508179955e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.82, 'epoch': 2.84}

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{'loss': 0.7746, 'grad_norm': 1.4353296756744385, 'learning_rate': 1.157965581609527e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.3, 'epoch': 2.85}

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{'loss': 0.7636, 'grad_norm': 1.5844627618789673, 'learning_rate': 1.1495980861477456e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.15, 'epoch': 2.85}

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{'loss': 0.7765, 'grad_norm': 1.4013336896896362, 'learning_rate': 1.1412518964495567e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 470.55, 'epoch': 2.86}

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{'loss': 0.7962, 'grad_norm': 1.7948715686798096, 'learning_rate': 1.132927144195715e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 525.9, 'epoch': 2.86}

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{'loss': 0.7898, 'grad_norm': 1.7212830781936646, 'learning_rate': 1.1246239607287513e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 526.86, 'epoch': 2.87}

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{'loss': 0.7584, 'grad_norm': 1.5194088220596313, 'learning_rate': 1.116342477050896e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 461.35, 'epoch': 2.87}

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{'loss': 0.7799, 'grad_norm': 1.4639698266983032, 'learning_rate': 1.1080828238220157e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.55, 'epoch': 2.88}

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{'loss': 0.7683, 'grad_norm': 1.4781426191329956, 'learning_rate': 1.0998451313575503e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 485.53, 'epoch': 2.88}

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{'loss': 0.774, 'grad_norm': 1.3627039194107056, 'learning_rate': 1.0916295296264565e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.56, 'epoch': 2.89}

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{'loss': 0.765, 'grad_norm': 1.423780083656311, 'learning_rate': 1.083436148249157e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.8, 'epoch': 2.89}

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{'loss': 0.7756, 'grad_norm': 1.3814677000045776, 'learning_rate': 1.0752651164954991e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 508.12, 'epoch': 2.89}

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{'loss': 0.7894, 'grad_norm': 1.5840386152267456, 'learning_rate': 1.0671165632827097e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.78, 'epoch': 2.9}

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{'loss': 0.7566, 'grad_norm': 1.2030837535858154, 'learning_rate': 1.0589906171733641e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 461.87, 'epoch': 2.9}

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{'loss': 0.7636, 'grad_norm': 1.4285019636154175, 'learning_rate': 1.0508874063733582e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 463.3, 'epoch': 2.91}

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{'loss': 0.7785, 'grad_norm': 1.4058661460876465, 'learning_rate': 1.0428070587298846e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 462.42, 'epoch': 2.91}

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{'loss': 0.7675, 'grad_norm': 1.3887815475463867, 'learning_rate': 1.034749701729416e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 461.89, 'epoch': 2.92}

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{'loss': 0.7545, 'grad_norm': 1.4016015529632568, 'learning_rate': 1.0267154624956937e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.9, 'epoch': 2.92}

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{'loss': 0.7635, 'grad_norm': 1.3880101442337036, 'learning_rate': 1.0187044677877216e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.32, 'epoch': 2.93}

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{'loss': 0.7569, 'grad_norm': 1.4154095649719238, 'learning_rate': 1.0107168439977669e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 453.4, 'epoch': 2.93}

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{'loss': 0.7684, 'grad_norm': 1.4633469581604004, 'learning_rate': 1.0027527171493654e-05, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.0, 'epoch': 2.94}

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{'loss': 0.7619, 'grad_norm': 1.5587745904922485, 'learning_rate': 9.948122128953335e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.6, 'epoch': 2.94}

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{'loss': 0.7431, 'grad_norm': 1.40702223777771, 'learning_rate': 9.868954565157854e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 465.39, 'epoch': 2.94}

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{'loss': 0.7828, 'grad_norm': 1.499337077140808, 'learning_rate': 9.790025729161583e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 503.84, 'epoch': 2.95}

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{'loss': 0.7842, 'grad_norm': 1.3095389604568481, 'learning_rate': 9.711336866252386e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 518.91, 'epoch': 2.95}

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{'loss': 0.7597, 'grad_norm': 1.4443596601486206, 'learning_rate': 9.632889217931984e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 458.51, 'epoch': 2.96}

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{'loss': 0.7748, 'grad_norm': 1.2316476106643677, 'learning_rate': 9.554684021896388e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 511.13, 'epoch': 2.96}

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{'loss': 0.7907, 'grad_norm': 1.3004258871078491, 'learning_rate': 9.47672251201634e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 509.13, 'epoch': 2.97}

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{'loss': 0.7514, 'grad_norm': 1.1468687057495117, 'learning_rate': 9.399005918317866e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 477.26, 'epoch': 2.97}

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{'loss': 0.7709, 'grad_norm': 1.4267300367355347, 'learning_rate': 9.321535466962861e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 500.3, 'epoch': 2.98}

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{'loss': 0.7552, 'grad_norm': 1.6295465230941772, 'learning_rate': 9.244312380229753e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.54, 'epoch': 2.98}

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{'loss': 0.7695, 'grad_norm': 1.4877276420593262, 'learning_rate': 9.167337876494206e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.82, 'epoch': 2.99}

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{'loss': 0.7687, 'grad_norm': 1.6292316913604736, 'learning_rate': 9.0906131702099e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.45, 'epoch': 2.99}

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{'loss': 0.7623, 'grad_norm': 1.3835020065307617, 'learning_rate': 9.014139471889379e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 466.51, 'epoch': 2.99}

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{'loss': 0.7704, 'grad_norm': 1.5445491075515747, 'learning_rate': 8.93791798808494e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.35, 'epoch': 3.0}

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{'eval_loss': 0.9735714197158813, 'eval_runtime': 196.1801, 'eval_samples_per_second': 5.092, 'eval_steps_per_second': 0.367, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 3.0}

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{'loss': 0.6531, 'grad_norm': 1.3530285358428955, 'learning_rate': 8.861949921369619e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 415.57, 'epoch': 3.0}

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{'loss': 0.662, 'grad_norm': 1.3419058322906494, 'learning_rate': 8.786236470318187e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.58, 'epoch': 3.01}

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{'loss': 0.6681, 'grad_norm': 1.4862751960754395, 'learning_rate': 8.710778829488255e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.86, 'epoch': 3.01}

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{'loss': 0.6357, 'grad_norm': 1.7250821590423584, 'learning_rate': 8.635578189401436e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.61, 'epoch': 3.02}

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{'loss': 0.6431, 'grad_norm': 1.5229028463363647, 'learning_rate': 8.560635736524541e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.77, 'epoch': 3.02}

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{'loss': 0.66, 'grad_norm': 1.6300897598266602, 'learning_rate': 8.485952653250877e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.31, 'epoch': 3.03}

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{'loss': 0.6632, 'grad_norm': 1.4617377519607544, 'learning_rate': 8.411530117881587e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.02, 'epoch': 3.03}

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{'loss': 0.6502, 'grad_norm': 1.6737926006317139, 'learning_rate': 8.337369304607057e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.89, 'epoch': 3.04}

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{'loss': 0.6685, 'grad_norm': 1.4772462844848633, 'learning_rate': 8.263471383488392e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.74, 'epoch': 3.04}

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{'loss': 0.6599, 'grad_norm': 1.6019269227981567, 'learning_rate': 8.189837520438952e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 495.54, 'epoch': 3.05}

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{'loss': 0.6568, 'grad_norm': 1.7322639226913452, 'learning_rate': 8.116468877205969e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.57, 'epoch': 3.05}

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{'loss': 0.6588, 'grad_norm': 1.6173838376998901, 'learning_rate': 8.043366611352193e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 462.71, 'epoch': 3.05}

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{'loss': 0.6461, 'grad_norm': 1.5913090705871582, 'learning_rate': 7.970531876237672e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.56, 'epoch': 3.06}

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{'loss': 0.6573, 'grad_norm': 1.3040716648101807, 'learning_rate': 7.897965821001504e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.3, 'epoch': 3.06}

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{'loss': 0.6716, 'grad_norm': 1.6446518898010254, 'learning_rate': 7.825669590543738e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 500.55, 'epoch': 3.07}

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{'loss': 0.6368, 'grad_norm': 1.7018547058105469, 'learning_rate': 7.753644325507306e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 483.4, 'epoch': 3.07}

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{'loss': 0.6798, 'grad_norm': 1.6681090593338013, 'learning_rate': 7.681891162260015e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.25, 'epoch': 3.08}

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{'loss': 0.6555, 'grad_norm': 1.5188624858856201, 'learning_rate': 7.610411232876638e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.0, 'epoch': 3.08}

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{'loss': 0.6636, 'grad_norm': 1.7600923776626587, 'learning_rate': 7.539205665121035e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 481.09, 'epoch': 3.09}

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{'loss': 0.6543, 'grad_norm': 1.9836052656173706, 'learning_rate': 7.468275582428369e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 524.05, 'epoch': 3.09}

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{'loss': 0.6395, 'grad_norm': 1.8480523824691772, 'learning_rate': 7.3976221038873775e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 445.77, 'epoch': 3.1}

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{'loss': 0.635, 'grad_norm': 1.5933022499084473, 'learning_rate': 7.327246344222716e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 452.74, 'epoch': 3.1}

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{'loss': 0.6424, 'grad_norm': 1.4891561269760132, 'learning_rate': 7.2571494137773754e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 467.57, 'epoch': 3.1}

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{'loss': 0.6589, 'grad_norm': 1.3638157844543457, 'learning_rate': 7.187332418495152e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.34, 'epoch': 3.11}

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{'loss': 0.6617, 'grad_norm': 1.347619891166687, 'learning_rate': 7.117796459903228e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.39, 'epoch': 3.11}

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{'loss': 0.6414, 'grad_norm': 1.770125150680542, 'learning_rate': 7.048542635094752e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 470.02, 'epoch': 3.12}

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{'loss': 0.6603, 'grad_norm': 1.34881591796875, 'learning_rate': 6.979572036711548e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.63, 'epoch': 3.12}

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{'loss': 0.6562, 'grad_norm': 1.9866487979888916, 'learning_rate': 6.9108857529268965e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 463.14, 'epoch': 3.13}

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{'loss': 0.6569, 'grad_norm': 1.886730670928955, 'learning_rate': 6.842484867428323e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.25, 'epoch': 3.13}

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{'loss': 0.6639, 'grad_norm': 1.8228403329849243, 'learning_rate': 6.774370459400542e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.22, 'epoch': 3.14}

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{'loss': 0.6439, 'grad_norm': 1.59607994556427, 'learning_rate': 6.706543603508403e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.81, 'epoch': 3.14}

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{'loss': 0.6514, 'grad_norm': 1.8505710363388062, 'learning_rate': 6.639005369879955e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.72, 'epoch': 3.15}

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{'loss': 0.6657, 'grad_norm': 1.8522517681121826, 'learning_rate': 6.571756824089539e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.77, 'epoch': 3.15}

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{'loss': 0.6696, 'grad_norm': 1.5501015186309814, 'learning_rate': 6.504799027141001e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 524.56, 'epoch': 3.15}

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{'loss': 0.675, 'grad_norm': 1.4875781536102295, 'learning_rate': 6.438133035450936e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 520.96, 'epoch': 3.16}

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{'loss': 0.651, 'grad_norm': 1.560786247253418, 'learning_rate': 6.37175990083202e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.71, 'epoch': 3.16}

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{'loss': 0.6719, 'grad_norm': 1.3014919757843018, 'learning_rate': 6.305680670476436e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.92, 'epoch': 3.17}

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{'loss': 0.6454, 'grad_norm': 1.5218391418457031, 'learning_rate': 6.239896386939323e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 451.03, 'epoch': 3.17}

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{'loss': 0.6532, 'grad_norm': 1.9518988132476807, 'learning_rate': 6.174408088122344e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.78, 'epoch': 3.18}

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{'loss': 0.6719, 'grad_norm': 1.97776198387146, 'learning_rate': 6.1092168072573095e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.38, 'epoch': 3.18}

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{'loss': 0.655, 'grad_norm': 1.3716925382614136, 'learning_rate': 6.04432357288987e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 473.91, 'epoch': 3.19}

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{'loss': 0.6699, 'grad_norm': 1.4617153406143188, 'learning_rate': 5.979729408863299e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.89, 'epoch': 3.19}

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{'loss': 0.651, 'grad_norm': 1.5557167530059814, 'learning_rate': 5.9154353343023245e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.63, 'epoch': 3.2}

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{'loss': 0.6672, 'grad_norm': 1.5268049240112305, 'learning_rate': 5.8514423635970626e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 514.69, 'epoch': 3.2}

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{'eval_loss': 1.0137217044830322, 'eval_runtime': 196.5158, 'eval_samples_per_second': 5.084, 'eval_steps_per_second': 0.366, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 3.2}

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{'loss': 0.6643, 'grad_norm': 1.5790226459503174, 'learning_rate': 5.787751506387007e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.58, 'epoch': 3.2}

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{'loss': 0.6678, 'grad_norm': 1.5815094709396362, 'learning_rate': 5.7243637675451014e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.89, 'epoch': 3.21}

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{'loss': 0.6714, 'grad_norm': 1.5472116470336914, 'learning_rate': 5.661280147161888e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 519.03, 'epoch': 3.21}

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{'loss': 0.6473, 'grad_norm': 1.6719571352005005, 'learning_rate': 5.598501640529713e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.74, 'epoch': 3.22}

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{'loss': 0.6653, 'grad_norm': 1.6827168464660645, 'learning_rate': 5.5360292381270604e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.9, 'epoch': 3.22}

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{'loss': 0.6473, 'grad_norm': 1.5358210802078247, 'learning_rate': 5.473863925602881e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.42, 'epoch': 3.23}

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{'loss': 0.6668, 'grad_norm': 1.635041356086731, 'learning_rate': 5.412006683761065e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 509.06, 'epoch': 3.23}

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{'loss': 0.6642, 'grad_norm': 1.571561574935913, 'learning_rate': 5.350458488544966e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.38, 'epoch': 3.24}

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{'loss': 0.6645, 'grad_norm': 1.8174020051956177, 'learning_rate': 5.289220311021997e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.42, 'epoch': 3.24}

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{'loss': 0.6583, 'grad_norm': 1.6712254285812378, 'learning_rate': 5.228293117368319e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.9, 'epoch': 3.25}

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{'loss': 0.6456, 'grad_norm': 1.5725531578063965, 'learning_rate': 5.1676778688535876e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 448.45, 'epoch': 3.25}

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{'loss': 0.6559, 'grad_norm': 1.533808708190918, 'learning_rate': 5.107375521825791e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 470.25, 'epoch': 3.25}

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{'loss': 0.6654, 'grad_norm': 1.455149531364441, 'learning_rate': 5.047387027696165e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.17, 'epoch': 3.26}

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{'loss': 0.6602, 'grad_norm': 1.724476933479309, 'learning_rate': 4.987713332924174e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.33, 'epoch': 3.26}

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{'loss': 0.6563, 'grad_norm': 1.6139812469482422, 'learning_rate': 4.928355379002584e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.57, 'epoch': 3.27}

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{'loss': 0.6564, 'grad_norm': 1.7342591285705566, 'learning_rate': 4.869314102442604e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.59, 'epoch': 3.27}

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{'loss': 0.6659, 'grad_norm': 1.4513487815856934, 'learning_rate': 4.8105904347591245e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.9, 'epoch': 3.28}

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{'loss': 0.6458, 'grad_norm': 1.3770030736923218, 'learning_rate': 4.752185302455997e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 471.99, 'epoch': 3.28}

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{'loss': 0.661, 'grad_norm': 2.054734468460083, 'learning_rate': 4.694099627011433e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 506.42, 'epoch': 3.29}

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{'loss': 0.6722, 'grad_norm': 1.678490161895752, 'learning_rate': 4.6363343248634675e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.69, 'epoch': 3.29}

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{'loss': 0.6529, 'grad_norm': 1.412787914276123, 'learning_rate': 4.5788903073954805e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.59, 'epoch': 3.3}

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{'loss': 0.6504, 'grad_norm': 1.6679067611694336, 'learning_rate': 4.521768480921845e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.94, 'epoch': 3.3}

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{'loss': 0.673, 'grad_norm': 1.6302002668380737, 'learning_rate': 4.464969746673609e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 514.5, 'epoch': 3.3}

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{'loss': 0.6477, 'grad_norm': 1.4526721239089966, 'learning_rate': 4.408495000784274e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 500.37, 'epoch': 3.31}

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{'loss': 0.6436, 'grad_norm': 1.7062057256698608, 'learning_rate': 4.3523451342756705e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 442.05, 'epoch': 3.31}

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{'loss': 0.6473, 'grad_norm': 1.7726435661315918, 'learning_rate': 4.2965210330439015e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 460.83, 'epoch': 3.32}

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{'loss': 0.6618, 'grad_norm': 1.626259684562683, 'learning_rate': 4.241023577845343e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.19, 'epoch': 3.32}

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{'loss': 0.6607, 'grad_norm': 1.914724349975586, 'learning_rate': 4.185853644282769e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.76, 'epoch': 3.33}

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{'loss': 0.6544, 'grad_norm': 1.4026740789413452, 'learning_rate': 4.131012102791532e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.25, 'epoch': 3.33}

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{'loss': 0.6583, 'grad_norm': 1.5948106050491333, 'learning_rate': 4.07649981862582e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 503.42, 'epoch': 3.34}

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{'loss': 0.6687, 'grad_norm': 1.573398232460022, 'learning_rate': 4.02231765184502e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 513.38, 'epoch': 3.34}

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{'loss': 0.6481, 'grad_norm': 1.5159857273101807, 'learning_rate': 3.968466457300138e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 459.02, 'epoch': 3.35}

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{'loss': 0.6561, 'grad_norm': 1.6860300302505493, 'learning_rate': 3.914947084620316e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.08, 'epoch': 3.35}

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{'loss': 0.6572, 'grad_norm': 1.3102531433105469, 'learning_rate': 3.861760378199431e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.49, 'epoch': 3.35}

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{'loss': 0.6635, 'grad_norm': 1.665374994277954, 'learning_rate': 3.8089071771827607e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 465.35, 'epoch': 3.36}

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{'loss': 0.6745, 'grad_norm': 1.8100502490997314, 'learning_rate': 3.7563883154537545e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.77, 'epoch': 3.36}

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{'loss': 0.6504, 'grad_norm': 2.081054449081421, 'learning_rate': 3.7042046216208686e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 450.25, 'epoch': 3.37}

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{'loss': 0.6571, 'grad_norm': 1.6421407461166382, 'learning_rate': 3.6523569190045126e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 479.34, 'epoch': 3.37}

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{'loss': 0.6757, 'grad_norm': 1.7119728326797485, 'learning_rate': 3.6008460256240328e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 506.88, 'epoch': 3.38}

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{'loss': 0.6446, 'grad_norm': 1.333788514137268, 'learning_rate': 3.5496727541848215e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 479.93, 'epoch': 3.38}

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{'loss': 0.6681, 'grad_norm': 1.793472170829773, 'learning_rate': 3.498837912065489e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.56, 'epoch': 3.39}

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{'loss': 0.6414, 'grad_norm': 1.61867356300354, 'learning_rate': 3.4483423013051323e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 471.26, 'epoch': 3.39}

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{'loss': 0.6657, 'grad_norm': 1.9037747383117676, 'learning_rate': 3.3981867185906706e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.37, 'epoch': 3.4}

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{'eval_loss': 1.015528678894043, 'eval_runtime': 195.8565, 'eval_samples_per_second': 5.101, 'eval_steps_per_second': 0.368, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 3.4}

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{'loss': 0.6504, 'grad_norm': 1.6967730522155762, 'learning_rate': 3.3483719552442894e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 76.01, 'tokens_per_second_per_gpu': 8.22, 'epoch': 3.4}

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{'loss': 0.6673, 'grad_norm': 1.3011078834533691, 'learning_rate': 3.2988987972109418e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.7, 'epoch': 3.4}

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{'loss': 0.6342, 'grad_norm': 1.3419616222381592, 'learning_rate': 3.2497680250459547e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 451.1, 'epoch': 3.41}

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{'loss': 0.6598, 'grad_norm': 1.4529420137405396, 'learning_rate': 3.2009804139027155e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.52, 'epoch': 3.41}

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{'loss': 0.6423, 'grad_norm': 1.46367347240448, 'learning_rate': 3.152536733520442e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 463.7, 'epoch': 3.42}

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{'loss': 0.663, 'grad_norm': 1.658532977104187, 'learning_rate': 3.1044377482120246e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 492.04, 'epoch': 3.42}

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{'loss': 0.6693, 'grad_norm': 1.5503042936325073, 'learning_rate': 3.056684216851999e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 468.13, 'epoch': 3.43}

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{'loss': 0.6674, 'grad_norm': 1.3065074682235718, 'learning_rate': 3.0092768928645375e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 498.52, 'epoch': 3.43}

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{'loss': 0.6659, 'grad_norm': 1.7457201480865479, 'learning_rate': 2.9622165242115808e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 500.49, 'epoch': 3.44}

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{'loss': 0.6687, 'grad_norm': 1.7811120748519897, 'learning_rate': 2.9155038533810325e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 519.01, 'epoch': 3.44}

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{'loss': 0.669, 'grad_norm': 2.163778781890869, 'learning_rate': 2.869139617375055e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 537.78, 'epoch': 3.45}

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{'loss': 0.6516, 'grad_norm': 1.4239171743392944, 'learning_rate': 2.8231245476984192e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 514.68, 'epoch': 3.45}

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{'loss': 0.6496, 'grad_norm': 1.7351467609405518, 'learning_rate': 2.7774593703469852e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 469.95, 'epoch': 3.45}

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{'loss': 0.6482, 'grad_norm': 1.7165180444717407, 'learning_rate': 2.732144805796236e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.65, 'epoch': 3.46}

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{'loss': 0.6565, 'grad_norm': 1.383346438407898, 'learning_rate': 2.687181568989919e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.46, 'epoch': 3.46}

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{'loss': 0.6534, 'grad_norm': 1.528689980506897, 'learning_rate': 2.6425703693287533e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 452.96, 'epoch': 3.47}

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{'loss': 0.6784, 'grad_norm': 1.5609986782073975, 'learning_rate': 2.5983119106592512e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 530.79, 'epoch': 3.47}

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{'loss': 0.6474, 'grad_norm': 1.7582324743270874, 'learning_rate': 2.5544068912625977e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 500.09, 'epoch': 3.48}

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{'loss': 0.6492, 'grad_norm': 1.611234188079834, 'learning_rate': 2.510856003843659e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.4, 'epoch': 3.48}

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{'loss': 0.6517, 'grad_norm': 1.5946812629699707, 'learning_rate': 2.4676599355200225e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 479.63, 'epoch': 3.49}

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{'loss': 0.6606, 'grad_norm': 1.3531148433685303, 'learning_rate': 2.4248193678111735e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 464.16, 'epoch': 3.49}

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{'loss': 0.6763, 'grad_norm': 1.433319330215454, 'learning_rate': 2.3823349766277453e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 465.35, 'epoch': 3.5}

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{'loss': 0.6548, 'grad_norm': 1.3814903497695923, 'learning_rate': 2.3402074322608437e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 471.8, 'epoch': 3.5}

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{'loss': 0.6371, 'grad_norm': 1.639966368675232, 'learning_rate': 2.298437399371481e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 455.42, 'epoch': 3.5}

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{'loss': 0.6771, 'grad_norm': 1.2393807172775269, 'learning_rate': 2.2570255369800815e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.62, 'epoch': 3.51}

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{'loss': 0.6452, 'grad_norm': 1.503077507019043, 'learning_rate': 2.2159724984560925e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 476.85, 'epoch': 3.51}

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{'loss': 0.6362, 'grad_norm': 1.5892212390899658, 'learning_rate': 2.175278931507671e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.2, 'epoch': 3.52}

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{'loss': 0.6657, 'grad_norm': 1.6182997226715088, 'learning_rate': 2.134945478171463e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 483.72, 'epoch': 3.52}

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{'loss': 0.6685, 'grad_norm': 1.5786893367767334, 'learning_rate': 2.0949727748024756e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 510.61, 'epoch': 3.53}

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{'loss': 0.6331, 'grad_norm': 1.6226705312728882, 'learning_rate': 2.0553614520640363e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 464.41, 'epoch': 3.53}

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{'loss': 0.6579, 'grad_norm': 1.609815239906311, 'learning_rate': 2.016112134917858e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.45, 'epoch': 3.54}

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{'loss': 0.6504, 'grad_norm': 1.6627197265625, 'learning_rate': 1.9772254426141447e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 466.41, 'epoch': 3.54}

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{'loss': 0.6573, 'grad_norm': 1.826428771018982, 'learning_rate': 1.9387019886818515e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.56, 'epoch': 3.55}

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{'loss': 0.6643, 'grad_norm': 1.4561930894851685, 'learning_rate': 1.9005423809189959e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 500.81, 'epoch': 3.55}

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{'loss': 0.6523, 'grad_norm': 1.8014180660247803, 'learning_rate': 1.8627472213830572e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 481.78, 'epoch': 3.55}

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{'loss': 0.6537, 'grad_norm': 1.6044520139694214, 'learning_rate': 1.8253171063815023e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.64, 'epoch': 3.56}

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{'loss': 0.6527, 'grad_norm': 1.4636297225952148, 'learning_rate': 1.78825262646235e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.22, 'epoch': 3.56}

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{'loss': 0.6779, 'grad_norm': 1.907880187034607, 'learning_rate': 1.7515543664048728e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.82, 'epoch': 3.57}

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{'loss': 0.641, 'grad_norm': 1.7787017822265625, 'learning_rate': 1.715222905210362e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 457.56, 'epoch': 3.57}

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{'loss': 0.6339, 'grad_norm': 1.5393340587615967, 'learning_rate': 1.679258816092999e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.29, 'epoch': 3.58}

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{'loss': 0.6608, 'grad_norm': 1.6022719144821167, 'learning_rate': 1.6436626664707995e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 503.19, 'epoch': 3.58}

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{'loss': 0.6446, 'grad_norm': 1.6085164546966553, 'learning_rate': 1.608435017956672e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.76, 'epoch': 3.59}

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{'loss': 0.6571, 'grad_norm': 1.5960315465927124, 'learning_rate': 1.5735764263495655e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.71, 'epoch': 3.59}

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{'loss': 0.6744, 'grad_norm': 1.590531826019287, 'learning_rate': 1.5390874416256694e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 515.42, 'epoch': 3.6}

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{'eval_loss': 1.015249490737915, 'eval_runtime': 196.7067, 'eval_samples_per_second': 5.079, 'eval_steps_per_second': 0.366, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 3.6}

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{'loss': 0.6493, 'grad_norm': 1.5634604692459106, 'learning_rate': 1.5049686079297715e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 32.91, 'epoch': 3.6}

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{'loss': 0.6562, 'grad_norm': 1.8618580102920532, 'learning_rate': 1.4712204635666498e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 488.16, 'epoch': 3.6}

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{'loss': 0.6469, 'grad_norm': 1.4708662033081055, 'learning_rate': 1.4378435409925867e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.84, 'epoch': 3.61}

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{'loss': 0.6733, 'grad_norm': 1.8748801946640015, 'learning_rate': 1.404838366806971e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 519.82, 'epoch': 3.61}

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{'loss': 0.6537, 'grad_norm': 2.1891469955444336, 'learning_rate': 1.3722054617439916e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.04, 'epoch': 3.62}

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{'loss': 0.6531, 'grad_norm': 1.809812307357788, 'learning_rate': 1.3399453406644059e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 506.87, 'epoch': 3.62}

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{'loss': 0.6608, 'grad_norm': 1.682203769683838, 'learning_rate': 1.308058512547436e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 502.02, 'epoch': 3.63}

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{'loss': 0.6698, 'grad_norm': 1.541329026222229, 'learning_rate': 1.276545480482727e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.38, 'epoch': 3.63}

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{'loss': 0.6437, 'grad_norm': 1.6913994550704956, 'learning_rate': 1.2454067416624193e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.39, 'epoch': 3.64}

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{'loss': 0.6496, 'grad_norm': 1.6575472354888916, 'learning_rate': 1.2146427873732852e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.07, 'epoch': 3.64}

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{'loss': 0.6698, 'grad_norm': 1.321257472038269, 'learning_rate': 1.1842541029890048e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 491.1, 'epoch': 3.65}

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{'loss': 0.6591, 'grad_norm': 1.3233212232589722, 'learning_rate': 1.154241167962486e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 503.64, 'epoch': 3.65}

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{'loss': 0.6715, 'grad_norm': 1.799234390258789, 'learning_rate': 1.1246044558183066e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.27, 'epoch': 3.65}

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{'loss': 0.6682, 'grad_norm': 2.0476598739624023, 'learning_rate': 1.0953444341452458e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 505.54, 'epoch': 3.66}

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{'loss': 0.6373, 'grad_norm': 1.5130788087844849, 'learning_rate': 1.0664615645889054e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 465.58, 'epoch': 3.66}

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{'loss': 0.6325, 'grad_norm': 1.7768909931182861, 'learning_rate': 1.0379563028444255e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 481.66, 'epoch': 3.67}

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{'loss': 0.64, 'grad_norm': 1.909771203994751, 'learning_rate': 1.0098290986493009e-06, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 474.29, 'epoch': 3.67}

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{'loss': 0.6608, 'grad_norm': 1.581221580505371, 'learning_rate': 9.820803957762693e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.98, 'epoch': 3.68}

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{'loss': 0.6397, 'grad_norm': 1.7531181573867798, 'learning_rate': 9.547106320263344e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 447.41, 'epoch': 3.68}

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{'loss': 0.6586, 'grad_norm': 1.3387778997421265, 'learning_rate': 9.277202392218298e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 493.88, 'epoch': 3.69}

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{'loss': 0.6548, 'grad_norm': 1.9285058975219727, 'learning_rate': 9.011096431996352e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 504.07, 'epoch': 3.69}

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{'loss': 0.6782, 'grad_norm': 1.5096101760864258, 'learning_rate': 8.748792638044289e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 523.39, 'epoch': 3.7}

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{'loss': 0.6532, 'grad_norm': 1.5004130601882935, 'learning_rate': 8.490295148820965e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.85, 'epoch': 3.7}

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{'loss': 0.6537, 'grad_norm': 1.642987608909607, 'learning_rate': 8.235608042731685e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.68, 'epoch': 3.71}

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{'loss': 0.6464, 'grad_norm': 1.7471836805343628, 'learning_rate': 7.984735338064043e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.71, 'epoch': 3.71}

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{'loss': 0.6789, 'grad_norm': 1.4065643548965454, 'learning_rate': 7.737680992924489e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 517.25, 'epoch': 3.71}

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{'loss': 0.6507, 'grad_norm': 1.5657329559326172, 'learning_rate': 7.494448905175922e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.29, 'epoch': 3.72}

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{'loss': 0.6466, 'grad_norm': 1.9447294473648071, 'learning_rate': 7.255042912376108e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.68, 'epoch': 3.72}

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{'loss': 0.6551, 'grad_norm': 1.7239102125167847, 'learning_rate': 7.019466791717166e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 472.22, 'epoch': 3.73}

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{'loss': 0.6464, 'grad_norm': 1.4075065851211548, 'learning_rate': 6.787724259965988e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.84, 'epoch': 3.73}

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{'loss': 0.6604, 'grad_norm': 1.4332797527313232, 'learning_rate': 6.55981897340563e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 500.3, 'epoch': 3.74}

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{'loss': 0.655, 'grad_norm': 1.563614845275879, 'learning_rate': 6.335754527777515e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.4, 'epoch': 3.74}

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{'loss': 0.6556, 'grad_norm': 1.7577075958251953, 'learning_rate': 6.115534458224853e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 530.38, 'epoch': 3.75}

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{'loss': 0.6657, 'grad_norm': 1.8939036130905151, 'learning_rate': 5.899162239236727e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 514.09, 'epoch': 3.75}

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{'loss': 0.6634, 'grad_norm': 1.8021842241287231, 'learning_rate': 5.686641284593369e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 462.24, 'epoch': 3.76}

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{'loss': 0.6425, 'grad_norm': 1.4221422672271729, 'learning_rate': 5.477974947312281e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 471.62, 'epoch': 3.76}

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{'loss': 0.6421, 'grad_norm': 1.4905974864959717, 'learning_rate': 5.273166519595251e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.04, 'epoch': 3.76}

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{'loss': 0.6639, 'grad_norm': 1.8478672504425049, 'learning_rate': 5.072219232776564e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.03, 'epoch': 3.77}

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{'loss': 0.6629, 'grad_norm': 1.469612717628479, 'learning_rate': 4.875136257271845e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.73, 'epoch': 3.77}

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{'loss': 0.6474, 'grad_norm': 1.693228840827942, 'learning_rate': 4.6819207025281806e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.12, 'epoch': 3.78}

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{'loss': 0.658, 'grad_norm': 1.7729908227920532, 'learning_rate': 4.4925756169750255e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.74, 'epoch': 3.78}

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{'loss': 0.6405, 'grad_norm': 1.680176019668579, 'learning_rate': 4.307103987976041e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 469.94, 'epoch': 3.79}

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{'loss': 0.6665, 'grad_norm': 1.6599911451339722, 'learning_rate': 4.125508741781997e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 501.12, 'epoch': 3.79}

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{'loss': 0.6398, 'grad_norm': 1.6246556043624878, 'learning_rate': 3.947792743484696e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 487.38, 'epoch': 3.8}

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{'eval_loss': 1.0149483680725098, 'eval_runtime': 195.9333, 'eval_samples_per_second': 5.099, 'eval_steps_per_second': 0.367, 'memory/max_active (GiB)': 77.11, 'memory/max_allocated (GiB)': 77.11, 'memory/device_reserved (GiB)': 77.96, 'epoch': 3.8}

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{'loss': 0.6515, 'grad_norm': 1.7122375965118408, 'learning_rate': 3.773958796971622e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 56.73, 'epoch': 3.8}

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{'loss': 0.6878, 'grad_norm': 1.7058682441711426, 'learning_rate': 3.604009644881751e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.56, 'epoch': 3.81}

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{'loss': 0.6574, 'grad_norm': 1.3675822019577026, 'learning_rate': 3.437947968562366e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 503.0, 'epoch': 3.81}

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{'loss': 0.657, 'grad_norm': 1.6166784763336182, 'learning_rate': 3.2757763880266746e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.53, 'epoch': 3.81}

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{'loss': 0.6499, 'grad_norm': 1.4668976068496704, 'learning_rate': 3.117497461912422e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 460.17, 'epoch': 3.82}

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{'loss': 0.6454, 'grad_norm': 1.5816718339920044, 'learning_rate': 2.9631136874415934e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 478.53, 'epoch': 3.82}

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{'loss': 0.6687, 'grad_norm': 1.4421151876449585, 'learning_rate': 2.812627500381082e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.74, 'epoch': 3.83}

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{'loss': 0.6691, 'grad_norm': 1.2845165729522705, 'learning_rate': 2.666041275004111e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 524.17, 'epoch': 3.83}

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{'loss': 0.6557, 'grad_norm': 1.8156490325927734, 'learning_rate': 2.5233573240528443e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.51, 'epoch': 3.84}

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{'loss': 0.6619, 'grad_norm': 1.5084383487701416, 'learning_rate': 2.3845778987019173e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 470.58, 'epoch': 3.84}

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{'loss': 0.6493, 'grad_norm': 1.76215398311615, 'learning_rate': 2.2497051885228827e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 494.36, 'epoch': 3.85}

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{'loss': 0.6345, 'grad_norm': 1.689795970916748, 'learning_rate': 2.1187413214497076e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 446.55, 'epoch': 3.85}

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{'loss': 0.638, 'grad_norm': 1.707517385482788, 'learning_rate': 1.9916883637451645e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 448.16, 'epoch': 3.86}

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{'loss': 0.6511, 'grad_norm': 1.4168503284454346, 'learning_rate': 1.8685483199681607e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 485.8, 'epoch': 3.86}

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{'loss': 0.6677, 'grad_norm': 1.635582447052002, 'learning_rate': 1.7493231329423764e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 496.41, 'epoch': 3.86}

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{'loss': 0.6595, 'grad_norm': 1.5602213144302368, 'learning_rate': 1.6340146837252324e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 482.26, 'epoch': 3.87}

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{'loss': 0.6504, 'grad_norm': 1.3467036485671997, 'learning_rate': 1.5226247915784976e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.94, 'epoch': 3.87}

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{'loss': 0.6667, 'grad_norm': 1.7891490459442139, 'learning_rate': 1.4151552139394787e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 508.72, 'epoch': 3.88}

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{'loss': 0.6394, 'grad_norm': 1.572636365890503, 'learning_rate': 1.311607646393348e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 473.64, 'epoch': 3.88}

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{'loss': 0.6621, 'grad_norm': 1.6758222579956055, 'learning_rate': 1.2119837226463037e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 461.1, 'epoch': 3.89}

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{'loss': 0.6546, 'grad_norm': 1.3241678476333618, 'learning_rate': 1.1162850144998405e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.78, 'epoch': 3.89}

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{'loss': 0.6472, 'grad_norm': 1.2928262948989868, 'learning_rate': 1.0245130318259633e-07, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 490.58, 'epoch': 3.9}

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{'loss': 0.6634, 'grad_norm': 1.594543695449829, 'learning_rate': 9.366692225433737e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 508.98, 'epoch': 3.9}

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{'loss': 0.6558, 'grad_norm': 1.7149603366851807, 'learning_rate': 8.527549725945993e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 489.84, 'epoch': 3.91}

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{'loss': 0.6671, 'grad_norm': 1.5452629327774048, 'learning_rate': 7.727716059240941e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 510.62, 'epoch': 3.91}

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{'loss': 0.635, 'grad_norm': 1.6672520637512207, 'learning_rate': 6.967203844574776e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 449.67, 'epoch': 3.91}

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{'loss': 0.6692, 'grad_norm': 1.5347639322280884, 'learning_rate': 6.246025080814677e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 507.3, 'epoch': 3.92}

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{'loss': 0.6508, 'grad_norm': 1.4704046249389648, 'learning_rate': 5.564191146250064e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 458.86, 'epoch': 3.92}

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{'loss': 0.6524, 'grad_norm': 1.8729603290557861, 'learning_rate': 4.921712798414135e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.25, 'epoch': 3.93}

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{'loss': 0.662, 'grad_norm': 1.5762940645217896, 'learning_rate': 4.3186001739120577e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 483.57, 'epoch': 3.93}

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{'loss': 0.6711, 'grad_norm': 1.548627495765686, 'learning_rate': 3.754862788263036e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 485.09, 'epoch': 3.94}

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{'loss': 0.6532, 'grad_norm': 1.9532479047775269, 'learning_rate': 3.230509535749049e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 486.72, 'epoch': 3.94}

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{'loss': 0.6476, 'grad_norm': 1.5838146209716797, 'learning_rate': 2.745548689274957e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 468.18, 'epoch': 3.95}

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{'loss': 0.6457, 'grad_norm': 1.6701834201812744, 'learning_rate': 2.2999879002377766e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.61, 'epoch': 3.95}

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{'loss': 0.6521, 'grad_norm': 1.8635591268539429, 'learning_rate': 1.893834198405664e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.68, 'epoch': 3.96}

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{'loss': 0.6624, 'grad_norm': 1.4792386293411255, 'learning_rate': 1.5270939918082817e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 499.59, 'epoch': 3.96}

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{'loss': 0.6517, 'grad_norm': 1.7554465532302856, 'learning_rate': 1.1997730666338247e-08, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 500.97, 'epoch': 3.96}

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{'loss': 0.6545, 'grad_norm': 1.477016568183899, 'learning_rate': 9.118765871390933e-09, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 475.26, 'epoch': 3.97}

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{'loss': 0.6709, 'grad_norm': 1.7487385272979736, 'learning_rate': 6.634090955676131e-09, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 497.31, 'epoch': 3.97}

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{'loss': 0.661, 'grad_norm': 1.6341969966888428, 'learning_rate': 4.5437451207802624e-09, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 480.91, 'epoch': 3.98}

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{'loss': 0.6514, 'grad_norm': 1.680708885192871, 'learning_rate': 2.8477613468219643e-09, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 509.85, 'epoch': 3.98}

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{'loss': 0.6397, 'grad_norm': 1.7303528785705566, 'learning_rate': 1.5461663919302815e-09, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 484.5, 'epoch': 3.99}

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{'loss': 0.671, 'grad_norm': 1.6371973752975464, 'learning_rate': 6.389807918227852e-10, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 510.08, 'epoch': 3.99}

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{'loss': 0.635, 'grad_norm': 1.7206001281738281, 'learning_rate': 1.2621885948360667e-10, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'tokens_per_second_per_gpu': 460.19, 'epoch': 4.0}

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100%|██████████| 43939/43939 [70:51:43<00:00,  5.71s/it][2025-12-01 16:55:56,475] [INFO] [axolotl.core.trainers.base._save:665] [PID:3633661] Saving model checkpoint to /model_out/mistral-nemo-12b_sft/checkpoint-43939

                                                        
{'train_runtime': 255105.2639, 'train_samples_per_second': 1.55, 'train_steps_per_second': 0.172, 'train_loss': 0.864465983982538, 'memory/max_active (GiB)': 75.64, 'memory/max_allocated (GiB)': 75.64, 'memory/device_reserved (GiB)': 77.07, 'epoch': 4.0}

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[2025-12-01 16:56:13,832] [INFO] [axolotl.train.save_trained_model:218] [PID:3633661] Training completed! Saving trained model to /model_out/mistral-nemo-12b_sft.
[2025-12-01 16:56:14,638] [INFO] [axolotl.train.save_trained_model:336] [PID:3633661] Model successfully saved to /model_out/mistral-nemo-12b_sft
[2025-12-01 16:56:14,762] [INFO] [axolotl.core.trainers.base._save:665] [PID:3633661] Saving model checkpoint to /model_out/mistral-nemo-12b_sft

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