Update model card with final TensorBoard training metrics

README.md

@@ -3,18 +3,18 @@ library_name: transformers
 license: apache-2.0
 base_model: LiquidAI/LFM2.5-1.2B-Instruct
 tags:
-- unsloth
-- lfm
-- sft
-- fine-tuned
-- liquid
-- lora
-- trl
-- hf_jobs
+  - unsloth
+  - lfm
+  - sft
+  - fine-tuned
+  - liquid
+  - lora
+  - trl
+  - hf_jobs
 datasets:
-- mlabonne/FineTome-100k
+  - mlabonne/FineTome-100k
 language:
-- en
+  - en
 pipeline_tag: text-generation
 ---
 
@@ -45,13 +45,21 @@ Trained using [Unsloth](https://github.com/unslothai/unsloth) SFT on [Hugging Fa
 | **Rank (r)** | 16 |
 | **Trainable parameters** | 11,108,352 / 1,181,448,960 (0.94%) |
 
-### Training Metrics
+### Training Metrics (from TensorBoard)
 
 | Step | Loss | Grad Norm | Learning Rate | Epoch |
 |---|---|---|---|---|
-| 900 | 0.6984 | 0.349 | 1.80e-4 | 0.1 |
-| 2,857 | 0.6696 | 0.266 | 1.40e-4 | 0.3 |
-| 5,857 | 0.6766 | 0.367 | 8.00e-5 | 0.6 |
+| 1,000 | 0.6984 | 0.349 | 1.80e-4 | 0.10 |
+| 2,000 | 0.6898 | 0.298 | 1.60e-4 | 0.20 |
+| 3,000 | 0.6696 | 0.266 | 1.40e-4 | 0.30 |
+| 4,000 | 0.6694 | 0.523 | 1.20e-4 | 0.40 |
+| 5,000 | 0.6697 | 0.356 | 1.00e-4 | 0.50 |
+| 6,000 | 0.6766 | 0.367 | 8.00e-5 | 0.60 |
+| 7,000 | 0.6574 | 0.426 | 6.00e-5 | 0.70 |
+| 8,000 | 0.6562 | 0.387 | 4.00e-5 | 0.80 |
+| 9,000 | 0.6673 | 0.516 | 2.00e-5 | 0.90 |
+
+**Final training loss: 0.6562** (at step 8,000). Loss decreased from 0.6984 to 0.6562 over the course of training (~6% reduction).
 
 ## Usage