Training in progress, epoch 1

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: Salesforce/xgen-small-4B-instruct-r
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- hardlyworking/HardlyRPv2
+model-index:
+- name: HoldMy4B
+  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`
+```yaml
+base_model: Salesforce/xgen-small-4B-instruct-r
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+chat_template: chatml
+datasets:
+  - path: hardlyworking/HardlyRPv2
+    type: chat_template
+    split: train
+    field_messages: conversations
+    message_property_mappings:
+      role: from
+      content: value
+val_set_size: 0.1
+output_dir: ./outputs/out
+dataset_prepared_path: last_run_prepared
+shuffle_merged_datasets: true
+
+hub_model_id: hardlyworking/HoldMy4B
+hub_strategy: "all_checkpoints"
+push_dataset_to_hub:
+hf_use_auth_token: true
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_layer_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: false
+cut_cross_entropy: true
+
+sequence_len: 32768
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: Xgen4B
+wandb_entity:
+wandb_watch:
+wandb_name: Xgen4B
+wandb_log_model:
+
+evals_per_epoch: 8
+eval_table_size:
+eval_max_new_tokens: 128
+
+gradient_accumulation_steps: 2
+micro_batch_size: 2
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 1e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: offload
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+s2_attention:
+
+deepspeed:
+
+warmup_ratio: 0.05
+saves_per_epoch: 1
+debug:
+weight_decay: 0.01
+fsdp:
+fsdp_config:
+special_tokens:
+   pad_token:
+```
+
+</details><br>
+
+# HoldMy4B
+
+This model is a fine-tuned version of [Salesforce/xgen-small-4B-instruct-r](https://huggingface.co/Salesforce/xgen-small-4B-instruct-r) on the hardlyworking/HardlyRPv2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1637
+
+## 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: 42
+- 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_BNB 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: 24
+- training_steps: 480
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0     | 0    | 2.6420          |
+| 2.0119        | 0.125 | 30   | 2.2105          |
+| 1.8963        | 0.25  | 60   | 2.1865          |
+| 1.8623        | 0.375 | 90   | 2.1787          |
+| 1.8528        | 0.5   | 120  | 2.1746          |
+| 1.8784        | 0.625 | 150  | 2.1706          |
+| 1.9961        | 0.75  | 180  | 2.1686          |
+| 1.8748        | 0.875 | 210  | 2.1672          |
+| 2.0385        | 1.0   | 240  | 2.1657          |
+| 1.9327        | 1.125 | 270  | 2.1646          |
+| 1.8509        | 1.25  | 300  | 2.1645          |
+| 1.8279        | 1.375 | 330  | 2.1640          |
+| 1.8271        | 1.5   | 360  | 2.1638          |
+| 1.8589        | 1.625 | 390  | 2.1637          |
+| 1.9824        | 1.75  | 420  | 2.1637          |
+| 1.8668        | 1.875 | 450  | 2.1637          |
+| 2.0332        | 2.0   | 480  | 2.1637          |
+
+
+### Framework versions
+
+- Transformers 4.52.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

added_tokens.json

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+{
+  "<|endofprompt|>": 100276,
+  "<|im_end|>": 100265,
+  "<|im_start|>": 100264
+}

chat_template.jinja

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+{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 100257,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 100265,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 262144,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": 100257,
+  "pretraining_tp": 1,
+  "resid_pdrop": 0.0,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 128000000,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.52.3",
+  "use_cache": false,
+  "vocab_size": 102400
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 100257,
+  "do_sample": true,
+  "eos_token_id": 100265,
+  "pad_token_id": 100257,
+  "transformers_version": "4.52.3",
+  "use_cache": false
+}

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