Training in progress, step 20

.gitattributes

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

README.md

@@ -0,0 +1,234 @@
+---
+library_name: peft
+license: apache-2.0
+base_model: mistralai/Mistral-Nemo-Base-2407
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- Alfitaria/synthkink-combined-completions
+- Alfitaria/bodinforg-completions
+model-index:
+- name: nemo-kink-lora
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.10.0.dev0`
+```yaml
+# === Model Configuration ===
+base_model: mistralai/Mistral-Nemo-Base-2407
+load_in_8bit: false
+load_in_4bit: true
+
+# === HF Configuration === 
+hub_model_id: ToastyPigeon/nemo-kink-lora
+hub_strategy: "checkpoint"
+
+# === Training Setup ===
+num_epochs: 1
+micro_batch_size: 2
+gradient_accumulation_steps: 2
+sequence_len: 8192
+#sequence_parallel_degree: 2
+#heads_k_stride: 1
+sample_packing: true
+pad_to_sequence_len: true
+#max_steps: 10
+# === Evaluation ===
+val_set_size: 0.05
+evals_per_epoch: 10
+#eval_steps: 20
+#max_steps: 60
+#eval_table_size:
+eval_max_new_tokens: 128
+eval_sample_packing: true
+#eval_strategy: "no"
+
+# === LoRA Configuration ===
+adapter: qlora
+lora_model_dir:
+lora_r: 128
+lora_alpha: 16
+lora_dropout: 0.1
+lora_target_linear: true
+lora_fan_in_fan_out:
+lora_target_modules:
+peft_use_rslora: true
+lora_modules_to_save:
+#  - embed_tokens
+#  - lm_head
+#fix_untrained_tokens: true
+#lora_mlp_kernel: true
+#lora_qkv_kernel: true
+#lora_o_kernel: true
+
+# === Hyperparameter Configuration ===
+#optimizer: apollo_adamw_layerwise
+warmup_steps: 0
+optimizer: adamw_torch_fused
+#optimizer: paged_adamw_8bit
+#optim_args:
+#  enable_stochastic_rounding: true
+#  enable_cautious: true
+#  enable_8bit: true
+# Apollo-mini configuration:
+#optim_args: "proj=random,rank=128,scale=128.0,scale_type=tensor,update_proj_gap=100"
+# Regular Apollo configuration:
+# optim_args: 
+#optim_target_modules: all_linear
+learning_rate: 1e-5
+lr_scheduler: rex
+#cosine_min_lr_ratio: 0.2
+#lr_scheduler: cosine_with_min_lr
+#lr_scheduler_kwargs:
+#  cosine_min_lr: 1e-6
+weight_decay: 0.01
+max_grad_norm: 1.0
+#warmup_steps: 0
+#warmup_ratio: 0.025
+
+
+# === Data Configuration ===
+#chat_template: jinja
+#chat_template_jinja: "{%- set default_system_message = \"You are Mistral Small 3, a Large Language Model (LLM) created by Mistral AI, a French startup headquartered in Paris. You obediently fulfill the user's requests.\" %}\n\n{{- bos_token }}\n\n{%- if messages[0]['role'] == 'system' %}\n    {%- if messages[0]['content'] is string %}\n        {%- set system_message = messages[0]['content'] %}\n    {%- else %}\n        {%- set system_message = messages[0]['content'][0]['text'] %}\n    {%- endif %}\n    {%- set loop_messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = default_system_message %}\n    {%- set loop_messages = messages %}\n{%- endif %}\n{{- '[SYSTEM_PROMPT]' + system_message + '[/SYSTEM_PROMPT]' }}\n\n{%- for message in loop_messages %}\n    {%- if message['role'] == 'user' %}\n        {%- if message['content'] is string %}\n            {{- '[INST]' + message['content'] + '[/INST]' }}\n        {%- else %}\n            {{- '[INST]' }}\n            {%- for bl (line truncated to 1000 characters)
+#chat_template: chatml
+special_tokens:
+  pad_token: "<pad>"
+
+#tokenizer_use_mistral_common: true
+shuffle_merged_datasets: true
+datasets:
+  - path: Alfitaria/synthkink-combined-completions
+    type: completion
+  - path: Alfitaria/bodinforg-completions
+    type: completion
+
+dataset_prepared_path: last_run_prepared
+
+
+# === Plugins ===
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
+
+# === Hardware Optimization ===
+#gradient_checkpointing: offload
+#gradient_checkpointing_kwargs:
+#  use_reentrant: false
+liger_rope: true
+liger_rms_norm: true
+liger_layer_norm: true
+liger_glu_activation: true
+#liger_fused_linear_cross_entropy: true
+cut_cross_entropy: true
+
+#deepspeed: /workspace/axolotl/deepspeed_configs/zero2.json
+
+# === FSDP Config === 
+fsdp:
+  - full_shard
+  - auto_wrap
+fsdp_config:
+  fsdp_limit_all_gathers: true
+  fsdp_sync_module_states: true
+  fsdp_offload_params: true
+  fsdp_activation_checkpointing: true
+  fsdp_use_orig_params: false
+  fsdp_cpu_ram_efficient_loading: true
+  fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
+  fsdp_transformer_layer_cls_to_wrap: MistralDecoderLayer
+  fsdp_state_dict_type: FULL_STATE_DICT
+  fsdp_sharding_strategy: FULL_SHARD
+# === Wandb Tracking ===
+wandb_project: Nemo
+# wandb_entity: [WANDB_ENTITY]
+# wandb_name: [WANDB_RUN_NAME]
+
+# === Checkpointing ===
+saves_per_epoch: 10
+save_total_limit: 1
+
+# === Advanced Settings ===
+output_dir: /workspace/aibox-standalone-pool/axolotl/nemo-writer-ckpts
+bf16: auto
+flash_attention: true
+train_on_inputs: false
+group_by_length: false
+save_safetensors: true
+logging_steps: 1
+gc_steps: 10
+seed: 69
+
+
+
+
+```
+
+</details><br>
+
+# nemo-kink-lora
+
+This model is a fine-tuned version of [mistralai/Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407) on the Alfitaria/synthkink-combined-completions and the Alfitaria/bodinforg-completions datasets.
+It achieves the following results on the evaluation set:
+- Loss: 1.2252
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 69
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- total_eval_batch_size: 4
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 5
+- training_steps: 181
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.5045        | 0.0055 | 1    | 1.5520          |
+| 1.4399        | 0.1047 | 19   | 1.3974          |
+| 1.3297        | 0.2094 | 38   | 1.3388          |
+| 1.4392        | 0.3140 | 57   | 1.3054          |
+| 1.2685        | 0.4187 | 76   | 1.2815          |
+| 0.9801        | 0.5234 | 95   | 1.2641          |
+| 1.1412        | 0.6281 | 114  | 1.2507          |
+| 1.1564        | 0.7328 | 133  | 1.2393          |
+| 1.1739        | 0.8375 | 152  | 1.2313          |
+| 1.2154        | 0.9421 | 171  | 1.2252          |
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.51.3
+- Pytorch 2.7.0+cu128
+- Datasets 3.5.1
+- Tokenizers 0.21.1

adapter_config.json

@@ -0,0 +1,39 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-Nemo-Base-2407",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "up_proj",
+    "k_proj",
+    "v_proj",
+    "gate_proj",
+    "down_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": true
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b5318d544f6a8e7e321d2241ec5d6f842796e51c11af790b2fa50cc037bd73dc
+size 1824599104

config.json

@@ -0,0 +1,41 @@
+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "quantization_config": {
+    "_load_in_4bit": true,
+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_storage": "bfloat16",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": true,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.4",
+  "use_cache": false,
+  "vocab_size": 131072
+}

special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b0240ce510f08e6c2041724e9043e33be9d251d1e4a4d94eb68cd47b954b61d2
+size 17078292

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:07f3504f93b7b89b1cf919c9061e463fa6ac1bf3191d416ea1d7d28242a9c9be
+size 7377